Three easy steps are required to finish the statistical analysis within a single dialog box. Since it provides step by step analysis it is handy for students and young scholars. The cost increases with additional features. Visit MaxStat Now. 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 help to make the business choices very easy. A free trial version of WizardMac is available.
The more features available in a package, the higher the price. Visit WizardMac Now. AcaStat is one of the best statistical analysis tools available online and it analyses data using very simple statistical tools. It does statistical analysis rapidly and makes it simple. Visit AcaStat Now. A large number of statistical and graphical tools to analyze data are available on NCSS software. Statwing is one of the fastest statistical tools available in the market. A free trial of Statwing software is available for users.
The cost of services increases with additional features. Visit StatWing Now. XL Stat is statistical software which has lots of features to meet user needs. A free trial of XL Stat is available for users. Stata is a unified software which provides you with the complete package required for data analysis, management and graphics.
It is one of the most important softwares available online for statistical analysis. A free trial of Stata is available for customers and users can contact Stata for a further price quote. Investigation and development of new methods for software testing based on stochastic processes and statistical measures in order to improve the quality of software and to provide qualitative measures for determining the probability that software correctly adheres to its specification.
During , ITL staff from the Statistical Engineering Division and the Software and Systems Division proposed a collaborative effort to research the potential and practicality for applying statistical methods to software testing. The Software Testing by Statistical Methods project includes both white-box testing and black-box testing to determine if a program conforms to its functional specifications. White-box testing assumes that program source code is available for inspection and metering, whereas black-box testing allows access to a program only through its defined interface.
Functional specifications may be specified using either conventional techniques or by formal methods. Conventional techniques usually specify formal syntax with semantic rules written in natural language, whereas formal methods require that both syntax and semantics be specified using mathematically rigorous techniques. In any case, the overall goal of this project is to integrate statistical techniques into software testing to ensure software quality and to provide quantitative measures of stability, reliability, and conformance to specifications.
Initial priority for this project is on statistical methods potentially applicable to software defined using conventional techniques. A companion project in the Software Quality Group places more emphasis on formal methods. Just accept it. If you have the self discipline to do it, I suggest learning two software packages at the beginning. This will come in handy for a number of reasons. Until the company was bought up by SPSS.
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? 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.
For these reasons, I recommend that everyone who plans to do research for the foreseeable future learn two packages. 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? 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. Rguroo is a newly developed software for teaching statistics that is becoming increasingly popular.
This software is web-based and is designed by instructors who have had many years of teaching experience. Im interested in SAS. I want your suggestion. 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.
Stop using stingy SAS! Check it out if it make sense what I have just added here! 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.
Hai folks 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??
Hi friends! 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.. 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. Good luck! 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 know exactly where Makerere university is, lived in Kampala for a year. 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.
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