How to Make Your Statistical Software Fit You Perfectly?
How does one decide the best statistical software to use? There are questions of price, time available to learn to use it and most importantly the nature of data. Excel is quite a powerful instrument often used in biomedical research to combine large volumes of data. It does contain some basic statistical analysis and could serve for simple inferences. Data can be exported into an excel spreadsheet, making it easy to test or determine the dispersion of the data. Excel fits the bill for simple statistical analyses. It only takes a couple of hours to learn most macros and select your data analysis tools. The tutorials are free too. Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, and reduce risks. Data miners use R, SAS, and SPSS the most as all these software operate on Windows, UNIX and Mac. IBM SPSS is a statistical package originally designed for social sciences. It is convenient for those creating classifiers for diagnostic purposes. It handles extensive analyses, is user friendly and takes only a few hours to learn the ropes. It uses pull-down menus through which most of its features are available. Though SPSS is a little pricey, it serves as the ultimate statistics solution for business, academicians and researchers.
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