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Statistical Analysis Software (SAS)

SAS stands for Statistical Analysis Software and is used all over the world in approximately 118 countries to solve complex business problems. Much of the software is either menu driven or command driven. Like the other programming software, SAS has its own language that can control the program during its execution.

The professionals at Statistics Solutions are experts in Statistical Analysis Software (SAS) and have helped thousands of doctoral candidates, masters candidates and researchers. Contact Statistics Solutions today to learn how we can help you.

SAS is the name of the software and the name of the company that created it in 1970. By 1980, it added graphics, online data entry and compiled the C programming as well. In the 1990’s, SAS added tools like visualizing data, administering, storing data warehouses, and building interfaces to the World Wide Web, etc.

SAS is so powerful that it can understand any type of data and it can access data from any software and any format. Logical operation can also be performed in SAS by using if –then statements. SAS runs all statements in a loop, step by step, and executes the program very quickly. ODS procedure is used to take the output in other formats. Examples of this include HTML, RTF, excel, etc. We can also make a macro from the SAS program to meet various research needs.

SAS has the following main windows:

In the editor window, we write the program. Log window will show the program log file. In log file, we can check the errors, and after correcting errors, we can run the program again. Output and the result window will show the output. Explorer window library is the place where all the created files, as well as the inbuilt of SAS, are located. All SAS programs run in two parts. The first part is the data step and the second part is the proc step. In the data step, we can create new data sets and we can modify the existing data sets. In the proc step, we can perform all analysis. For example, if we want to add a constant value in an x variable, then we can use the data steps as follows:

By running this statement, SAS will create a new variable with the name x, and will add 9 years of age in each case. If we want to run analysis on this data, then we have to execute proc statement as follows:

By running this statement, SAS will calculate all the descriptive statistics for data ABC. SAS statement is not case sensitive. project tracking software We can write SAS statement in lower case, upper case, or a mix of the lower and upper cases. But SAS is sensitive with special characters such as $, %, #, @, etc.

SPSS, SAS, R, Stata, JMP? Choosing a Statistical Software Package or Two.

In addition to the five listed in this title, there are quite a few other options, so how do you choose which statistical software to use?

The default is to use whatever software they used in your statistics class–at least you know the basics.

And this might turn out pretty well, but chances are it will fail you at some point. Many times the stat package used in a class is chosen for its shallow learning curve, not its ability to handle advanced analyses that are encountered in research.

I think I’ve used at least a dozen different statistics packages since my first stats class. And here are my observations:

1. The first one you learn is the hardest to learn. There are many similarities in the logic and wording they use, even if the interface is different. So once you’re learned one, it will be easier to learn the next one.

2. You will have to learn another one. Just accept it. If you have the self discipline to do it, I suggest learning two at the beginning. This will come in handy for a number of reasons

– My favorite stat package for a while was BMDP. Until the company was bought up by SPSS. I’m not sure if they stopped producing or updating it, but my university cancelled their site license.

– Many schools offer only a site license for only one package, and it may not be the one you’re used to. When I was at Cornell, they offered site licenses for 5 packages. But when a new stats professor decided to use JMP instead of Minitab, guess what happened to the Minitab site license? Unless you’re sure you’ll never leave your current university, you may have to start over.

– In case you decide to outwit the powers-that-be in IT who control the site licenses and buy your own (or use R, which is free), no software package does every type of analysis. There is huge overlap, to be sure, and the major ones are much more comprehensive than they were even 5 years ago. Even so, the gaps are in the most complicated analyses–some mixed models, gee, complex sampling, etc. And when you’re trying to learn a new, highly complicated statistical method is not the time to learn a new, highly complicated stats package.

For these reasons, I recommend that everyone who plans to do research for the forseeable future learn two packages.

I know, it’s hard enough to find the time to start over and learn one. Much less the self discipline. But if you can, it will save you grief later on. There are many great books, online tutorials, and workshops for learning all the major stats packages.

But I also recommend you choose one as your primary package and learn it really, really well. The defaults and assumptions and wording are not the same across packages. Knowing how yours handles dummy coding or missing data is imperative to doing correct statistics.

Which one? Mainly it depends on the field you’re in. Social scientists should generally learn SPSS as their main package, mainly because that is what their colleagues are using. You can then choose something else as a backup–either SAS, R, or Stata, based on availability and which makes most sense to you logically.

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My experience SPSS is better than the others by far in terms of flexibility, user friendliness, user interface. It is popular in academia as compared to SAS and R. R is Ok but you have to know lots of things before you feel comfortable with it, and there are too many packages which are confusing some times. SAS is Ok but I hate its web usage and old fashion UI. In addition SPSS has just added Bayesian Statistics and it is a huge plus. Stop using stingy SAS! Check it out if it make sense what I have just added here! SPSS, SAS, R, Stata, Minitab, OriginPro, NSCC (!) and Pass (good for sample size estimates) and forget the others!

This is Prasad, I am purshing Msc (statistics with computer applications) we can give the suggestion which software is better pls me suggests

I have also done MSC statistics but now I have a problem. Problem is that i did not know about the Statistics software such as SPSS,SAS,STAT,etc, Can you give me any suggestion

Basically Iam a Statistics background student completed my graduation in Statistics And now Iam pursuing my post graduation in statistics too

Iam going learn SAS is it okay for me ??

or any thing else you people are going to suggest please suggest me

I’m in an agricultural institution,and most of my colleagues are using SAS & SPSS in their researches. For a change, I’m planning to use another statistical tool for my research, the JMP. Could there be any difference?

I have done MA economics and looking for supporting statical package for carrer betterment. Please suggest some statical package which can support to my economics degree..

Given that you’re from Economics background, it is suggested to go ahead with STATA or SPSS. Stata has witnessed a rapid rise in last few years ,especially all international org in India like UN office,World Bank regional office,Institute of economic growth, NCAER they all have swaped from spss to stata.

I would recommend using R not only because it is free but because it has become an industry standard. Below is a link to a very good course that will teach you how to use R. data analysis.data Good luck! -Lisa

Hey Ganesh and Lisa, thanks for posting. We have a great collection of resources for R, too, including 2 free webinars. Check them out here.

I personally did my first degree in Quantitative Economics of Makerere University, and I have always felt at home using both STATA & SPSS tools. But more preferably STATA. If you are in the field of Economic Research, Agricultural Reseach, Public health(Epidemiology), i would advise you use STATA instead of SPSS.

In contrast, I think SPSS has better procedures when it comes to using graphs.

In general, I prefer STATA to SPSS

I have also done MSC statistics but now I have a problem. Problem is that i did not know about the Statistics software such as SPSS,SAS,STAT,etc, Can you give me any suggestion

How you did your MSC in statistics without knowledge of SPSS and STATA i can’t imagine that

I know exactly where Makerere university is, lived in Kampala for a year. Can’t remember my econ degree- think it was minitab, but then in EPI we learned both SPSS and SAS at the university

Could anyone suggest me any site that has some good projects ( I am looking for beginners to intermediate level) that uses Stata as a tool?

Here is a link to a book that I purchased that I thought was very helpful. I do not use Stata, however, I learned a lot by reading this book. (The workflow concepts carry over to anything.) Hope this helps!

Hey Paul and Lisa,

You can also check out our list of Stata resources, which includes 2 free webinars.

I definitely prefer NCSS, though not mentioned in the article. Now the newest version pre-released even in cloud.

Hi Brandon. I am using AppOnFly as well, but I have chosen SPSS to do my analysis. They also provide a free trial of SPSS which is available for 30days: http://www.apponfly.com/en/ibm-spss-statistics-standard?EZE

For a comparison of SPSS, SAS, R, Stata and Matlab for each type of statistical analysis, see

I like to use Java since it has good graphics. Therefore, my choice is SCaVis (http://jwork.org/scavis). It integrates Java and Python with superb graphics.

I am used to spss and stata for my data analysis, however today I tried adding “analyse-it” to my excel package. It really worked for me. Can I really go ahead with it?

I don’t know much about the excel plug ins (or whatever the correct software term is). As a general rule, I avoid excel for data analysis, but this add-on may be just fine.

You could also try the XLSTAT software statistical add-on. It holds more than 200 statistical features including multivariate data analysis, modeling, machine learning, stat tests and field-oriented features https://www.xlstat.com/en/

Hi Karen, nice suggestions backed with arguments!

On a different note, I wish to hear your opinion on free software… Have you, for example, had an experience with EasyReg? It seems to have much of the econometrics methods covered — by far more than I would ever imagine to use –, it’s easy to operate and is supported with PDF-files about relevant theory. What do you think? (I have currently no access to commercial software, unfortunately.)

Thanks! I haven’t used that software before, but I can tell you there are many good stat software packages out there. If you like using it and you’re confident that it’s accurate, go with it.

I often use r ! and sometimes work with SPSS and Excel,but at all, i prefer

to use R because i love programing and R is a wonderfull language.also R isn’t

limited! my goal idea is to create packages that cover shortage of other

softwares,and linking softwares toghether.Indeed,i like to ferret in softwares.

so,my first software is R but i hasn’t think about primiary software yet…!

so,i research about statistical softwares and decide to use STATA inside

Hi Morteza, I agree: R is awesome if you love programming. But do check out Stata too. ��

Hi karen do you really think that R is more efficient then Stata. I think that you are right because in programming most of my fellows using R rather then Stata. So Agreed with you…….. ��

I use R and Stata regularly. Dollar for dollar, I personally think that Stata is the most comprehensive stats package you can buy. Excellent documentation and a great user community. R is excellent as well, but suffers from absolutely terrible online documentation, which (for me) requires third party sources (read: books).

If somebody is buying you a license, then you don’t care what it costs. If someone like me has to buy a license, then to me, Stata is a no-brainer, given all the stats you can do with it.

My college eliminated both SAS and SPSS for that reason and use R for most classes. Rumor has it SAS is offering a new “college” licensing fee, but I’m not privy to that information.

Small sidebar: SAS started on the mainframe and it annoys me that it still “looks” that way. JMP is probably better (and again, expensive) but doesn’t have anywhere the capabilities if base SAS, the last time I looked.

Just my opinions.

I actually agree with you about Stata. data analysis tools If I were to start over, that’s what I would use, especially, as you’ve said, if you’re buying your own license.

And Stata has the *best* manuals, IMHO.

Depends on which social scientists you are talking about. I doubt you will find many economists, for example, who do most (if any) of their analyses in SPSS. If you absolutely must have a gui JMP is clearly the superior platform, since its scripting language can interface with R, and you can do whatever you please. Try searching for quantile regression in the SPSS documentation, it says the math is too hard, and SPSS cannot compute.

Agreed, most economists I’ve talked to use either Stata or Eviews.

SPSS also interfaces with R.

Sure, there are examples of specific analyses that can’t be done in any software. That’s one reason why it’s good to be able to use at least two.

I am SPSS and R lover…in my university they use JMP software…how should I convince them that SPSS is better than JMP…or First of all can I convince them.

Well, I’m sure they’ll cite budget issues. But there are some statistical options in SPSS that are not available in JMP. I don’t know of any where the reverse is true, although that may just be my lack of knowledge of JMP. For example, to the best of my knowledge, JMP doesn’t have a Linear Mixed Model procedure.

When you add random effects to a linear model in JMP the default is REML. In fact the manual goes so far as to say REML for repeated measures data is the modern default, and JMP provides EMS solutions for univariate RM ANOVA only for historical reasons. JMP doesn’t do multilevel models (more than 1 level of random effects), and I don’t believe it does generalized linear mixed effects models (count or binary outcomes). I usually use Stata and R, but I keep an eye on JMP because it is a fun program sometimes. I have used it for repeated measures data by mixed model when a colleague wanted help doing it himself, where the posthoc tests where flexible and accessible, compared to his version of Stata or in R.

Thanks, Dave. That’s great to know. The last time I used JMP (which was a few years ago), REML wasn’t an option.

Yes, I agree. JMP is very straightforward and for 95% of analyses that most researchers use, entirely sufficient.

Good advice, all around. But… if you choose SPSS as your primary package, SAS has little to offer you, and vice versa. The overlap is just too great to make either a good complement to the other.

A factor to consider in choosing between the Big Two is your preferred user interface. If you don’t want to program (much) and you adore point-and-shoot interfaces, go with SPSS. If you don’t mind programming explicitly, and despise point-and-shoot interfaces SAS will make you happier.

Another factor in choosing among the Big Two is your use of structural equation models (SEMs). If you don’t use them it’s a non-issue. If you use them extensively, you should choose between EQS-like syntax (in SAS PROC CALIS) and SPSS’s AMOS. SEMs are confusing enough without worrying about converting from your preferred expression of the models into the expression your software wants.

Much better choices as a complement to one of the Big Two are Stata and some dialect of S (R, S, S-plus). Stata users say it has some very slick programming facilities. (I’m not among them, so I can’t say from experience.) The S dialects are killers for simulation studies. I benchmarked R against SAS/IML (in version 9.1) and found R was an order of magnitude faster. R is built entirely around an object-oriented programming interface. Language extensions are a snap. In my opinion bootstrap estimation is easier in R than in other languages. High resolution graphics are native to R, and (despite a lot of improvement from versions 6 to 7 to 9.1 and 9.2) not native to SAS.

I think SAS becomes an asset over SPSS when the focus is on data preparation: Merging multiple tables, accessing SQL databases, using API functions, creating canned reports, etc..

I am new to R.I would like to know R-PLUS.Does any know where can I get the free training for R-PLUS.

I believe the above comment is spam. I am not aware of the existence of R-plus; googling revealed a word for word comment on another site: http://www.talkstats.com/showthread.php/10761-free-training-for-R-PLUS.

Apologies to the commenter if this is a genuine enquiry.

I suspect it was real, only because there was no link back to another site (you wouldn’t believe the strange links I get). I figured it was a language difficulty, and they meant S-Plus, on which R was based.

Top 52 Free Statistical Software

Top 52 Free Statistical software: List of 50+ open source statistical software. Statistical software are programs which are used for the statistical analysis of the collection, organization, analysis, interpretation and presentation of data. SAS University Edition, GNU PSPP, Statistical Lab, Shogun, Develve, GNU Octave, DataMelt, Arc, SciPy, Dataplot, MacAnova, Past, Zelig, Gretl, GNU Data Language, CumFreq, OpenMx, MaxStat Lite version, SageMath, Dashboard of Sustainability, Salstat, SOFA Statistics, Perl Data Language, NIMBLE, OpenEpi, ADaMSoft, BV4.1, CSPro, Dap, Epi Info, First Bayes, Ploticus, Yorick, Statcato, ViSta, StatCVS, JAGS, Stan, pbdR, OpenStat, Simfit, MicrOsiris, NCAR Command Language, EasyReg, IVEware, WinBUGS, WINPEPI, IDAMS, ADMB, Scilab, Orange and R are some of the top free statistical analysis software.

You may also like to review the proprietary statistical software solutions list which is given below:

by StataCorp

Who Uses This Software?

Stata is distributed in more than 180 countries and is used by hundreds of thousands of professional researchers in many fields of research. For more information, visit www.stata.com/disciplines

Average Ratings

Product Details

Vendor Details

  • StataCorp
  • www.stata.com
  • Founded 1985
  • United States

About Stata

Stata statistical software is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules, which means you get everything you need in one package. statistical help And, you can choose a perpetual license, with nothing more to buy ever. Annual licenses are also available.

Stata Features

Data Analysis Features

Vendor has not completed this information.

Statistical Analysis Features
  • Analytics
  • File Management
  • Forecasting
  • Multivariate Analysis
  • Regression Analysis
  • Statistical Process Control
  • Survival Analysis
  • Time Series
  • Visualization

Stata Reviews Recently Reviewed!

A good statistical software

Pros: A good statistical package.

Cheaper than other available statistical software.

It produces results that are similar to those from statistical packages

Cons: It is not as popular as other statistical packages and its results are not widely accepted like others.

It requires good knowledge of statistics and programming.

A great easy to use software

Pros: Very comprehensive and easy to use, powerful, the results are clearly presented, and the graph function is also pretty good

Cons: Some statistical function are hard to find. One limitation is that you cannot directly copy and past the results, but have to copy and paste them in Excel first

Overall: easy to use, and comprehensive.

Vendor Response

by StataCorp on March 13, 2018

Thank you for your feedback!

One of the best and simple to use data analysis tool

Pros: The best thing about this software is that its simple to use. Unlike other tools such as R and SAS, STATA provides the basic solutions to everything using inbuilt libraries and commands.

Cons: One of the things I didn’t like about STATA is that its not available for discussion in many online forums such as stack overflow and GitHub. Being a college student its a good way to clear my doubts but for STATA its harder to find answers on the net.

Vendor Response

by StataCorp on March 06, 2018

Thank you for your feedback! Have you tried Statalist, The Stata Forum? It is free to register and post questions at https://www.statalist.org.

Excellent data analysis, data cleaning, and validation software.

Pros: STATA was introduced to me in my Economics class. Though I was familiarised with R, STATA was quite easy to grasp and implement all kinds of functions. The commands were all straightforward and easily accessible even from the drop-down menu.

Cons: STATA though provides ample amount of functions for the users, it’s very less popular among the Internet forums. Thus its very hard to find useful discussions and discuss any queries you face, in online discussion forums.

Vendor Response

by StataCorp on February 27, 2018

Thank you for your feedback. You may want to look into Statalist, The Stata Forum. It is a great place to discuss Stata and statistics. It is free to register at https://www.statalist.org.

Excellent for cleaning and managing data and for running standard statistical models.

Pros: Stata is very easy to pick up, and many functions can be accomplished through the menus, although things are faster with some programming skill. Troubleshooting is typically fairly straightforward — the program’s help function is good, and most other problems can be solved by searching online.

Cons: Stata is not as flexible as R (the other major statistical program used in my field), although the learning curve is much less steep. The graphics are also not as stylish, although there are some customization options.

Vendor Response

by StataCorp on February 21, 2018

Thank you for your feedback. It is always appreciated!

tool to manage, and analyze bigdata

Pros: Ideal for all my data analysis needs, special for econometric models.

It is very easy to make dynamic tables, as well as to organize all the data in a single document.

Cons: the price is too high, it is preferable to use R, for its ability to handle bigdata and for its graphing

Used STATA 13 dor my econometrics project

Pros: I used Stata 13 for my econometrics project, where we needed to do OLS regressions and more complex analysis using proxies and dummies to evaluate if the temperature gradient in Brazil could have any relation to the cities GDP’s . In general, the learning curve for the software was very quick and the language was very close to Python and C, which me and my team were already used to

Cons: Cost was approximately for each license, as we really needed one license for each team member, it was very costly for us as students, also, there were problems regarding using the same code with different STATA versions, sometimes we had to debug already working algorithms just because we switched machines.

Overall: Built in econometric tools that really help spare time of building algorithms from zero

Good tool for statistical analysis

Pros: Very easy to use with limited knowledge of coding. Easy upload and download of dataset. Widely used and presence of online community providing support.

Cons: User experience not so great compared to other software from what concerns graphics. Not big issue though.

STATA is the most user-friendly stats software on the market

Pros: I use lots of different statistics and data visualization packages, and my go to software for advanced analytics is STATA. The software offers most any statistical procedure available, and when a procedure is unavailable, there is usually a user-written program to accomplish what I need to accomplish.

Cons: The biggest weakness of STATA is it’s visualization capabilities and it’s clunky output format. It takes some effort to make STATA graphs and regression output tables publication quality.

Overall: The software is the best statistics software on the market. Easy to use and learn.

Vendor Response

by StataCorp on February 09, 2018

Thank you for your feedback!

I need more training on it

Pros: I think this is a smooth program to run SEM analyses on. It is a clean way to analyze model and is pretty easy to interpret. It can do more than other SEM programs can.

Cons: I’m not sure how to troubleshoot problems when analyses don’t work out well. I might need more training but am not sure the best place to find solutions to problems with this program.

Vendor Response

by StataCorp on February 09, 2018

Thank you for your feedback! You can always contact our Technical Services group with problems or questions with the program. https://www.stata.com/support/tech-support/contact

I've used this product in an academic setting before.

Pros: STATA doesn’t require a subscription fee, and is quite a bit cheaper than SAS. Also, it’s easier to learn and use than many other statistics packages.

Cons: STATA isn’t as powerful as other programs, and there are fewer features. Additionally, it has trouble handling very large sets of data.

Vendor Response

by StataCorp on February 09, 2018

Thank you for your feedback!

Amazing statistical tool for beginners!

Pros: Stata has an incredible range of statistics, and users can and do write programs to add more features.

There are programs for odd little statistical procedures, for handling different input, for changing output, for playing with variables, and all sorts of other things. These programs are easy to install, and if you have problems,

Stata tech support is just amazing!

Cons: It is difficult to grasp when compared to SPSS.

SPSS is far easier to get used to, with its more modern GUI. That learning curve is probably one reason, along with brand recognition, why everyone in the (stats) world doesn¿t use Stata.

Vendor Response

by StataCorp on January 16, 2018

Thank you for your feedback!

Good way to start

Pros: When I was first starting with descriptive statistics, I tried several softwares, and ended up choosing Stata. By then, it seemed as the easiest to use for basic descriptive statistics. It takes a while to completely gasp all functionalities, but it is rather easy to get the basic commands.

Cons: The price may not be the best for just basic statistics, so maybe consider buying only after trying it for a while and making sure it has all the resources you need.

I've used Stata as a graduate student both in my own coursework and in teaching undergraduates.

Pros: The freedom it gives me to customize outputs, as well as the ability to use external packages for different forms of data analysis.

Cons: For new users, the interface can be stressful. Error codes are not always very helpful. Default outputs are not aesthetically pleasing.

Vendor Response

by StataCorp on November 09, 2017

We appreciate your feedback! Thank you.

Stata is a very strong analytical tool. I keep learning about it each time I use it!

– Keep learning each time I use it.

– Professional and well recognized in the research community.

– Regular updates, add-ons and new versions released with features for always more convenient use.

– Rigorous statistical/analytical tools, also very adjustable to one’s needs.

– Help section is very helpful.

Cons: – Lack of free online courses available to improve even faster.

– Cumbersome tabulations export from Stata to MS Excel for example.

– Still expensive, but indeed worth the money.

Overall: Excellent software which makes analysis easy to conduct, and easy to replicate. data analysis online A bit expensive so non-experienced analysts may prefer other free or less expensive tools. I really enjoy learning everyday about new Stata functions and tools and I am actually thinking in starting online Stata Corp courses to get a proper and well-structured training.

Vendor Response

by StataCorp on November 08, 2017

Thank you! We appreciate your feedback!

Incredibly power big data analysis system that, though difficult to master, provides big results

Pros: I used STATA SE, which is the large database version for an advanced statistics class extensively in college. As long as your computer has enough memory, STATA can take in vast quantities of data and very quickly provide complex graphs, will perform a variety of modifications for plotting a wide variety of regressions, analyze data from surveys, and will takes a variety of data inputs to use for the processing. STATA can analyze data sets across time, save your progress while you are working, sort and clean data, create dummy variables, and export your results. STATA is a fantastic program for research.

Cons: Coding the requested commands takes fairly extensive experience and practice. It usually takes upwards of 40 to 50 hours to master without any prior experience in STATA. Performing basic commands is a simple process with a guide, but interpreting the results can be difficult without significant experience with statistics.

Overall: -I was able to run trends for my college thesis on domestic and international terrorism growth and attacks. By using stata, I could create cross-time data sets to demonstrate trends in terrorism incidents from my collegiate database.

-I also used this system extensively in an advanced statistics class where we ran risk analysis profiles for various companies, looking for inconsistencies between anticipated growth trends and actual trends. We were able to run statistical tests to determine likelihood of certain events and easily determine the margins of error. We analyzed vehicular risk information, health risk information across different states, trends in international fishing companies, etc.

-The system is extremely powerful and can give the user strong evidence through analysis.

Vendor Response

by StataCorp on November 08, 2017

We appreciate the review. Always like hearing from our users!

The 10 Best Statistical Analysis Software

WooFresh

Statistical software are the specialized computer programs which help you to collect, organize, analyze, interpret and statistically design data. There are two main statistical techniques, which help in statistical data analysis are descriptive statistics and inferential statistics.

Descriptive statistics organize data from sample using indexes and inferential statistics draws conclusion from data that are random variant. Statistics are very crucial for the company form of organizations. They provide factual data or if you are looking for trends in marketplace for your comparison then this data is of great importance.

Let’s figure out some of its benefits –

  • Statistical analysis allow company to make crucial decisions about projects.
  • Identify trends in marketplace that can help determine whether a project is right to invest or not.
  • Business statistics also help with projecting future data or events that might occur.
  • If you are considering risk factors of a specific project that your company wants to roll out then statistics are necessary.

Today I have taken efforts to collect for you the best statistical software available in market and web that will cut down your manual working and process to a smarter way of handling your company data and information.

The Best Statistical Analysis Software Compared (in full)

Check all the services in detail as per your needs and choose service wisely – by the end, you’ll know exactly which one is the right option for you.

It is very easy and affordable statistical software available online. Three easy steps are required to finish the statistical analysis within a single dialog box. Since it provide the step by step analysis it very handy for students and young scholars.

  • If you are not a professional statistician, MaxStat helps you to opt the best statistical tool as per your requirement. you just have to give information about your data and MaxStat will automatically choose the best statistical tool.
  • MaxStat is very to understand and can do your task very efficiently. you can learn the basics of statistics and do the documentation via online tutorials available on MaxStat.
  • The result you get at the end of analysis is also very easy to understand. you might not be an expert but still you can understand the result and can translate into scientific terms.

You can use the lite version of MaxStat or you can purchase the licensed version whose cost starts from €39 for students and € 79 for other users and then the cost go on increasing with features.

2. WizardMac

In wizardmac no typing or programming is required for data analysis. Any professional can start their survey with the help of WizardMac. The predictive models helps to make the business choice very easy.

  • The wizardmac provides you with the simple graphical results which helps to understand and analyze the result easily
  • It can predict the results from the one or more options which you have opted
  • WizardMac can make specific predictions after creating the predictive model, with the help of sliders and pop-up buttons

Free trial version of WizardMac is available and then with the increase of features you have opted the price of the Wizardmac version also go on increasing.

AcaStat is one of the best statistical analysis tool available online and it analysis the data using very simple statistical tools. It does the statistical analysis rapidly and makes it simple.

  • It can format the variables and value labels, set missing values and can use controls and recode variables.
  • AcaStat for MAC and Windows allows data to be selected from spreadsheets, copy and paste, drag and drop to the tool.
  • After the data analysis is over the user obtains the result for further analysis. StatCalc for windows helps the result to be compared and analysed.
  • It designs the frequency tables, descriptive statistics, OLS and logistic regression and more

The products of AcaStat starts from $9.99 and then the price of its products go on increasing with the increase in the features.

A large number of statistical and graphical tools to analyze the data are available on NCSS software. It provides the facilities like organized documentation, free training videos and 24by7 email support team

  • You can import or export data using Data window. Quick and easy numeric results can be obtained within few steps using NCSS
  • You can manage the data with the help of finest filtering and alteration feature of NCSS
  • It is easy to choose the best analytical procedure for your data by using drag and drop menu, the procedure search or the category tree.
  • The personalized plot can be designed as per the requirement of the user to analyze the data. NCSS gives the control to users to select the layout, symbols, titles and many more.
  • The end result obtained by NCSS can be directly used for further processing and is ready to be viewed, copied pasted or saved

The annual subscription of NCSS is available from $239 and it can be upgraded from $199 with the increase in features.

5. Statwing

Statwing is one of the fastest statistical tool available in market. Users can perform tasks 5 times faster in Statwing than they would in MS Excel or other statistical tools available in market such as R or SPSS.

  • It’s easy to use interface allows new users as well with the capability of generating insight out of their data.
  • Its state of the art and intuitive interface chooses statistical tests on its own in the background and the provide results in understandable and simple English.
  • Statwing also takes into account the outliers which allows analysts to be confident in their analysis/results
  • It understands analysts data structure in such a good manner that it automatically creates several kind of charts such as histograms, scatterplots, bar charts etc. which can be easily exported to Power Point of excel spreadsheets

Free trial of Statwing software services is available for users and then the cost of services go on increasing with the increase in features.

XL Stat equip you with statistical softwares which provides a lot software packages to furnish the needs of user. These can easily alliance with Microsoft excel software and the solution is workable on PC and Mac

  • The software can be easily combined with MS EXCEL and thus makes the statistical analysis an easy process
  • XLStat allows you to do data analysis, data mining, testing, modeling and visualization and provides you with the quick statistical data analysis
  • Over 200+ statistical analysis solutions are available to users to select and get the best according to their requirement

A free trial XL Stat version is available is available for the users and then the price go on increasing with increase in features from $275/year/user

Stata is a unified software which provide you with complete package required for data analysis, management and graphics.It is one of the most important software available online for statistical analysis.

  • With both point-and-click interface and a powerful intuitive command syntax, Stata is quick, authentic and easy to use software
  • Stata provides you with lots of statistical features from standard methods such as basic tabulations and summaries to advanced models such as multilevel models
  • It gives you the complete control over data, you can combine and amend datasets, regulate variables, and can compile statistics across groups
  • Advanced tools are available to handle specialized data such as survival/duration data, time-series data etc

Free trial of Stata is available for customers and the user have to contact Stata for further price quote.

8. IBM SPSS

IBM SPSS is an analytical software from IBM. It provides numerous statistical analytics such as text and entity analysis automated modeling, and decision management and development.

  • It is easy to use interface, everyone from beginners to expert analytics can analyse and produce the required result
  • Advanced features available on cloud helps to discover patterns and trends structured and unstructured data with a spontaneous visual interface
  • The quality of data and product is maintained and kept accurate with the help of entity analytics

IBM provides you the service to statistically analyze your data at an affordable rate of $1/one-time/user.

SAS is perfect for traditional analysis of variance and linear regression and meets both specialized and enterprisewide statistical needs.

  • SAS uses the newest techniques for statistical analysis and large data tasks for any size of data
  • You can create the easy documented and verified code ar per your requirement that fits the governmental and corporate compliance needs
  • 24by7 technical support staff is available with SAS which provide you with the high quality of service and knowledge
  • The software is organized in such a way that it help you to access and manage data and build and deploy statistical models

You can receive the free trial of software and personalized pricing quote according to your requirement for that you have to contact the SAS

10. MINITAB

Minitab is one of the best statistical software available online. More than 90% of fortune companies and around 4000 colleges and universities around the world use Minitab to create and analyze data.

  • The software allows you to easily transfer the Microsoft Excel XlSX files directly to Minitab Express
  • To evaluate confidence intervals for a parameter of interest such as median, or proportion use resampling techniques
  • Minitab helps you to find the best regression equation with the help of model reduction technique

The pricing of Minitab starts from $29 for six months which further increase to $ 49 annually along with the increase in features.

Conclusion

I hope these 10 online statistical analysis softwares are productive for your business. So choose the best according to you requirement and start statistical analysis. Is any better online software missed? Share it in the comment box below and we’ll look forward to review it.

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by Analytical Software

Who Uses This Software?

Researchers at universities, government agencies, and corporations.

Average Ratings

Product Details

Vendor Details

  • Analytical Software
  • www.statistix.com
  • Founded 1985
  • United States

About Statistix

Statistix is an intuitive, easy statistical program designed by researchers for researchers. Comprehensive but not intimidating, Statistix offers basic and advanced statistics in one inexpensive package.

Statistix Features

Statistical Analysis Features
  • Analytics
  • File Management
  • Forecasting
  • Multivariate Analysis
  • Regression Analysis
  • Statistical Process Control
  • Survival Analysis
  • Time Series
  • Visualization

Statistix Reviews Recently Reviewed!

I have used this software for many years. It is easy to use and very versatile.

Pros: It is so easy to work with data in this program — no programming language needed! I can upload my Excel files and then easily work with them to try different statistical tests.

Cons: You have to remember your models – there is no way to save model statements in the program. When you go back into a Statistix file, there is no record saved of the analysis that you had done on the data.

Overall: Easy to use! Powerful.

This is one of the easiest programs of any type to run.

Pros: Compatibility with Excel and overall ease of use. I use program at least 2-3 times every week for a variety of purposes.

Cons: The only hassle I have is with the size of graphs when I copy them into Word, Excel or Powerpoint. Would be nice to have a smaller size that could be expanded versus contracting a smaller size.

Overall: Quick analysis of data. Graphic representation of data.

Statistix does the analyses it is designed for. I have been using large datasets and it works!

Pros: I use it mostly for standard stat analyses, ANOVA, and paired regression. The report output enables good understanding of the results and allows me to export them to secondary reports about the data.

Cons: I would use it more for MySQL dataset reading but I cannot figure out how to make it auto-enabled for those tasks. I do pull the MySQL datasets into ASCII files where is processes them fine.

Overall: Speed and reliability of results is the most stunning result from this software.

Simply put, I could not do my job without Statistix!

Pros: The Statistix data handling function is the best in the business! You can sort data, rearrange variable order, rename variables, and perform standard transformations with virtually no pain. It does a wonderful job with cross-sectional regression analysis and descriptive statistics.

Cons: Statistix has limited econometric capability, particularly with respect to panel data analysis. It would be great if the software could run the Hausman test for endogeneity of variables. I hope this feature is added soon.

Overall: It’s my go to package for data editing and sorting before I do econometric analysis with more sophisticated software.

I have been consistently pleased with using Statistix. Its easy to use, has what I need.

Pros: I like the ease of importing other format data sets, the manual (which provides significant background), and the ability to quickly turn my analyses into graphs. The program was very affordable compared with other choices.

Cons: Some of the more specific applications that I use are not included–specific models and applications–used in wildlife ecology studies. But the standard analyses are all included. Some types of graphics that I would like to display are not supported.

Overall: Availability, ease of use, economical, and accurate.

Straightforward, simple and effective for the majority of your data analysis needs

Pros: Simple, efficient, and effective software tool that allows you to quickly start exploring your data.

Cons: More advanced statistical approaches commonly used in life sciences such as nearest neighbor analyses of unreplicated trials, spatial models, and mixed models are not available.

I started using it since it was developed for Apple in the 80s!

Pros: Statistix has a very functional and canonical user interface, has an excellent manual and includes 80% of the traditional statistical techniques needed in biomedicine. It is very suitable for students and biomedical scientists who use statistics to process experimental data. data analysis course I have used it for a large part of my career and now I use it for teaching and to check the results of other software. Currently I mainly use JMP 10 on Macintosh.

Cons: I would add the possibility of using alphanumeric data in nominal or ordinal categorical variables. Currently, only numbers can be used. I would also improve graphics.

Overall: It also help me in better understanding statistics

I have been using Statistix for the past 20+ years, DOS to Windows.

Pros: Menu driven, easy data entry, easy transformations, easy class factors/dummy variables. It is great for individual data sets and ad hoc analysis.

Cons: It is not a programming software; if you generate the same type of data and do exactly the same analysis, you will need to reload and redo all analysis for each data set.

Overall: Hi value, easy to use.

Most powerful and easy to use package for the $

Pros: The software is easy to use, has a good breadth of univariate tools available, and is provided with thorough and comprehensible documentation.

Cons: Wish it had multivariate ordination tools for biological data, RA/DCA/PO/PCA/Classification analysis, etc. These exist as routines for R or S, but both are too cumbersome and complex for the occasional user to retain enough skill in to use a couple of times a year. BMDP/SPSS are easier to use for these tasks but not cost effective to purchase/lease for the individual user/small work group.

I have used this as an academic clinician-scientist for over 10 years.

Pros: The programing is simple and easy to use, while being versatile enough to cover most needs. The software support is better than any other statistics program available!

Cons: Statistix limits the ability to perform ANOVA with uneven group sizes. In addition, error messages sometimes not clear and identifying the error for repair can be tricky.

Statistix has been the primary statistical analysis software used in my lab since 1985.

Pros: Statistix is by far the fastest and easiest statistical analysis package to learn and use. It is highly intuitive, and allows one to effortlessly compare different options for data analysis (e.g., with or without transformation; various approaches for mean separation following ANOVA; parametric versus simple nonparametric tests, etc.). I find it an excellent teaching tool for illustrating these concepts to new graduate students. Undergrad research interns, too, quickly learn to use it. The program is powerful and versatile enough to accommodate nearly all of our needs (we work in applied ecology and agricultural entomology). It is very easy to get data into Statistix (e.g., copy and paste from Excel file) and get right to the analyses. Technical support is excellent. My lab members (>40 graduate students) have published >200 refereed papers in national and international journals. Statistix has served our needs very well.

Overall: Please see comments in my review. Excellent software – highly recommended for anyone working in the agricultural sciences.

Powerful statistical program that is relatively easy to use compared to other similar products

Pros: Easy to use after you figure out which test or function is required for analysis and much improved graphical user interface

Cons: A more complete description (or examples) in practical and simple terms to know which test or function to use

Overall: Quick results for an extremely powerful statistical software package

Super easy to use, customer support quickly responds, has all statistics needed for biology work

Pros: It is very easy to plot descriptive graphs almost right away with just a few clicks. to get a feel for the data. I especially enjoy that the output for statistics like One-way ANOVAs will also give you the results for tests of assumptions, like homogeneous variation in the data. It’s got pretty much all of the statistical tests a biologist would need in just a few clicks (rather than sorting through a series of menus like in other programs). Overall, the ease of use makes this perfect for working with undergraduates in the lab and has me using the it as my main statistical program.

Overall: It saves a lot of time because of how easy it is to get statistical analyses and accompanying graphs accomplished. The customer service is also quick to respond whenever I upgraded work computers and needed to re-download the program.

Great for exploratory analysis-Easy to learn for students-Strong data manip, graphics, analysis

Pros: Very easy to use. Intuitively set up so that you can go back to it after a few weeks or months and still quickly do what you need to do. Its data manipulation tools are particularly powerful and have often permitted me to re-organize/merge files in ways that other software packages either will not permit or can only do in very complicated ways.

Cons: It’s great for exploratory analyses. However once you have a set of procedures that you would like to apply consistently to several data sets, it does not provide a toolbox that lets you automate these repetitive analyses. Each one must be done manually and that makes for lost time and higher probability of mistakes.

Overall: Easy to do quick exploratory analyses. Close to zero learning curve compared to competitors.

Statistix is fast, accurate and very easy to use and it has amazingly low computer overhead.

Pros: Very easy to get data from Excel; fast results that always agree with analyses produced by larger programs such as SAS. Statistix has limitations data file size and missing values (analyses often requires balanced data), but for 90% or more of my computing needs, this is my go-to program.

Cons: The graphs produced by Statistixs are functional, but not great looking, so I copy the results to Excel for graphing. This works fine, but it frequently takes quite a bit of reorganization of data in Excel to be able to produce graphs. It would be great if the output data for graphs, generally means and standard deviations or errors, could be output in an Excel-friendly format for quicker and easier graphing.

Very easy to get into and no hassles ever during installation. Have used it since mid 90¿s

Pros: Easy and very logical to use. I have a very good selection of ANOVA models, and other functions. The character counting function does not work properly

Cons: Could include some even more sophisticated multivariate analyses, now I need to use other software for these

Ever since I got to know Statistix (1994) I have used the program. No problem with publishing papers

Pros: It easy to use. Intuitive. Great graphical output facilities. Cust support rep and others in ‘support’ has been very helpful indeed – and fast in responding. Each new version represented significant improvements, in methodology and with respect to ‘volume’ – capacity. The program is fast.

I find Statistix useful for my colleagues in developing countries.

Pros: This software is easy to learn and enables those will little formal training to learn to carry out simple, critical statistical analyses. The software also does not require high capacity computers, also making it accessible to scientists with minimal computer resources.

Cons: Some limitation in the versatility of the software and support for new statistical procedures. More graphics flexibility would be useful.

Love using Statistix and can't wait to enter my field data as soon as possible.

Pros: The best way to view my data is using the box and whisker graph function it tells you a lot more than figures ever can as I am a visual person!

Overall: Great data analysis means great reports and the box and whisker function is a big hit with the regulatory authorities.

But guys where is the most important profession in the list that feeds us all ” Agriculture”.

Easy to use, reasonably comprehensive, and very good customer support.

Pros: Easy to use. The manual is actually intelligible, unlike so much software out there today, The customer support is excellent, both with trouble shooting and stats questions.

Cons: I wish they could do a few more advanced statistical methods, like SEM, or some econometrics applications. They would undoubtedly do them well and make them easy to use.

Overall: If Statistix has the capability I am looking for, I use it first for that analysis.

Simple and straight forward software without the need to remember complex programing symbols.

Pros: Simplicity and ease to use. It covers most of the commonly used experimental designs. management project software The manual explains very eloquently each statistical design and other commonly used statistics.

Cons: This statistical software is limited to a small number of factors measured in any experimental design (maximum of 10 parameters measured) in one analysis cycle.

Overall: Experimental data analysis.

Time saving in terms of built statistic programing for each statistical design.

Statistix has been a great solution for simple and detailed analysis of various sized datasets.

Pros: Statistics is very easy to use and still has access to advanced statistical tools. Data imports are easily done.

Cons: The only con is that the data set size is somewhat limited. Current software only handles about 1,000,000 records which for some data sets may be a limitation.

Overall: Rapid and accurate statistical analysis that is scientifically valid at a low cost, that is easy to use. It is a good, user friendly solution for those that need advanced statistical power and analysis.

Have used earlier versions but have not had an opportunity to use the current version yet

Pros: Price was good for the features. I have a history with previous versions and appreciated the technical service that I received at the time.

Cons: My only observation is that it is feature rich but complicated enough that I don’t know where to start.

Statistix (which I've used for may years) is great for EXPLORATORY data analyses.

Pros: Statistix is my “go to” program for most initial analyses of experiment data. For me, its best features are easy access to graphical looks at the data and the “Omit, select, restore” command.

I always tell students, “before you run any statistical analyses, GRAPH your data,” and Statistix makes that really easy. Although I don’t use Statistix to produce figures for publications, I’ll often model my publication graphs on those quickly drawn with Statistix.

I find “Omit/select/restore” incredibly useful for exploratory analyses because it allows me to partition data sets and focus analyses only on portions of them WITHOUT having to save a multitude of partitioned files under a large number of different file names.

I also like the very clear menu layout, and the ability easily to run both parametric and non-parametric analyses, and to transform data. The selection of ANOVA designs is very good, as is the selection of post-hoc tests offered.

Another feature that facilitates explorations of data by regression are tools such as “Best-subset linear regressions” that allow finding the independent variables that explain the most variance.

The best experience that I’ve had with Statistix was using it to re-analyze a student’s analysis of a complicated three-factor, blocked design that had been analyzed with “R.” Statistix refused to run the analysis, giving the message that two treatments were aliased, which we hadn’t realized (and “R” did not reveal).

Cons: There is very little that I dislike about Statistix when using it for data exploration. The main thing is that sometimes I want to look at a quick graph to compare more groups than a particular graphic will allow (perhaps comparing many lines instead of a limited number), or using something like box-and-whisker plots for a two- or three-factor design without having to re-code them as if they were multiple levels of a single factor.

Although I do not produce publication-quality graphs with Statistix, I do NOT WANT it to implement the large number of formatting options that would be needed for that purpose. I would be afraid that would overly complicate what now are exceptionally easy to use graphs that greatly favor rapid data exploration.

The only time I couldn’t use Statistix for a publishable analysis was when I had a two-factor, repeated-measures design with unequal sample sizes per treatment (because of plant mortality). My solution had been to randomly eliminate data so that all treatments had equal numbers of plants, and then to argue that the diminished replication made the analysis conservative. But reviewers wouldn’t accept that argument, so I had to use some other statistical software that implemented restricted maximum likelihood methods (which Statistix did not) in order to accommodate my unbalanced data.

Overall: Please see my review.

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