SPSSSPSS, which stands for statistical package for the social sciences, is an application that can aid in quantitative data handling. Before SPSS, researchers had to run statistical tests on data sets by hand. However, SPSS automates this process. Not only does SPSS allow you to run statistical tests, you can use SPSS for other purposes as well.Statistics included in the base software: Descriptive statistics:Cross tabulation,Frequencies, Descriptives, Explore, Descriptive Ratio Statistics Bivariate statistics:Means,t-test,ANOVA,Correlation(bivariate, partial, distances),Nonparametrictests Prediction for numerical outcomes:Linear regression Prediction for identifying groups:Factor analysis,cluster analysis

Data Collection and Organization SPSS is often used as a data collection tool by researchers. The data entry screen in SPSS looks much like any other spreadsheet software. You can enter variables and quantitative data and save the file as a data file. Furthermore, you can organize your data in SPSS by assigning properties to different variables. For example, you can designate a variable as a nominal variable, and that information is stored in SPSS. The next time you access the data file, which could be weeks, months or even years, you'll be able to see exactly how your data is organized.Data Output Once data is collected and entered into the data sheet in SPSS, you can create an output file from the data. For example, you can create frequency distributions of your data to determine whether your data set is normally distributed. The frequency distribution is displayed in an output file. You can export items from the output file and place them into a research article you're writing. Therefore, instead of recreating a table or graph, you can take the table or graph directly from the data output file from SPSS.Statistical Tests The most obvious use for SPSS is to use the software to run statistical tests. SPSS has all of the most widely used statistical tests built-in to the software. Therefore, you won't have to do any mathematical equations by hand. Once you run a statistical test, all associated outputs are displayed in the data output file. You can also transform your data by performing advanced statistical transformations. This is especially useful for data that is not normally distributed.

SAS (Statistical Analysis System)SAS is a software suite developed by SAS Institute for advanced analytics, business intelligence, data management, and predictive analytics.Benefits Integrate data across environments.SAS software integrates into any computing environment, enabling you to unify your computing efforts and get a single view of your data. Meet enterprise visualisation and reporting needs.SAS software can handle all of an organisation's graphic/data visualisation needs, including analytical-style graphs, maps and charts with any style of output that is required. Satisfy corporate and governmental compliance. Benefit from a full range of enterprise analysis, reporting and visualisation needs from one vendor. Employ the latest statistical techniques.SAS statistical procedures are constantly being updated to reflect the latest advances in statistical methodology. Technical support is provided by experienced master's and doctorate level statisticians who deliver a level of service not often found with other software vendors.

MinitabMinitab is a software package that helps you to analyse data. Analysing data is an important part of Six Sigma, provides a quick, effective solution for the level of analysis required in most Six Sigma projects.It is designed specifically for the needs of Six Sigma professionals. It provides a simple, effective way to input statistical data, manipulate that data, identify trends and patterns, and then provide answers to the problem at hand.This software option uses a series of elements to help Six Sigma professionals work with data and statistics. For instance, it includes boxplots, scatterplots, and histograms and provides the ability to calculate descriptive statistics.