Statistics Softwares


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Statistical Softwares

We provide help in various Statistical analysis softwares that are used on a very large scale but are quite difficult to work on. But our panel of experts with their expertise in all the softwares provides the most satisfactory, precise, high quality solution. There are many softwares these days that are being used to solve these statistical problems. some of the main and widely used softwares are mentioned below with there short description explaining its use and where it is used.


Excel is the widely used statistical package, which serves as a tool to understand statistical concepts and computation to check your hand-worked calculation in solving your homework problems. The site provides an introduction to understand the basics of and working with the Excel. This is mainly used for making graphs,spreadsheets easily and quickly.


Minitab is a statistics package. It was developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972. Minitab began as a light version of OMNITAB, a statistical analysis program by NIST. Minitab is used in Data and File Management like spreadsheet for better data analysis, Regression Analysis,Power and Sample Size Tables and Graphs Multivariate Analysis which includes factor analysis, cluster analysis, correspondence analysis,etc.some other areas in which it is used are nonparametrics various tests including sign test, runs test, friedman test,Time Series and Forecasting tools that help show trends in data as well as predicting future values, Time series plots, exponential smoothing, trend analysis,Statistical Process Control Measurement System Analysis, Analysis of Variance to determine the difference between data points.


MATLAB (matrix laboratory) is a numerical computing environment and fourth generation computer programming language. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, and Fortran. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and Model-Based Design for dynamic and embedded systems.


SPSS (originally, Statistical Package for the Social Sciences) was released in its first version in 1968 after being developed by Norman H. Nie and C. Hadlai Hull. SPSS is among the most widely used programs for statistical analysis in social science. It is mainly used by market researchers, health researchers, survey companies, government, education researchers, marketing organizations and others.Statistics included in the base software are Descriptive statistics which includes Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics. Bivariate statistics which includes Means, t-test, ANOVA, Correlation (bivariate, partial, distances), Nonparametric tests.Prediction for numerical outcomes which includes Linear regression.Prediction for identifying groups which includes Factor analysis, cluster analysis (two-step, K-means, hierarchical), Discriminant.


Stata is a complete, integrated statistical 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. And, you can choose a perpetual license, with nothing more to buy ever. Annual licenses are also available. Stata 12 adds many new features which were missing in the previous versions, such as structural equation modeling (SEM), contrasts, ARFIMA, business calendars, chained equations for multiple imputation, contour plots, automatic memory management, importing and exporting of Excel files, and more. New Stata 12 is Fast, accurate, and easy to use With a point-and-click interface, an intuitive command syntax, and online help, Stata is easy to use, fast, and accurate . All analyses can be reproduced and documented for publication and review.


Analyze your data with world-class statistics software. Using statistics to analyze your data can provide new information that improves processes, drives development and revenues, and helps organizations satisfy and retain valued customers and that too with an ease. State-of-the art statistical software from SAS provides a wide range of analytical capabilities, from traditional analysis of variance to exact methods and statistical visualization techniques. SAS also offers an interactive matrix programming language and exploratory data analysis with integration to R which is very beneficial.


R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.


Gretl, short form for GNU Regression, Econometrics and Time-series Library, is an open-source statistical software package with the main focus being on statistical methods for econometric analyses.


EViews can be used for general statistical analysis and econometric analyses, such as cross-section and panel data analysis and time series estimation and forecasting. EViews combines spreadsheet and relational database technology with the traditional tasks found in statistical software, and uses a Windows GUI. This is combined with a programming language which displays limited object orientation.

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