MATLAB Guide to Statistics: A Student Guidebook with Examples for Successful Implementation
This is a simple book on Statistics using MATLAB . There is a review of MATLAB in the first few chapters followed by four chapters on Statistics. This topic is very important for students and researchers in fields such as biological sciences, behavioral sciences, psychological sciences, marine science, etc. Two “statistics” chapters cover the basics of measures of central tendency, measures of dispersion, and graphical means of statistical output. There is no coverage of probability theory – only basic statistical concepts. The last two chapters cover the important topic of regression analysis in some detail. I chose this topic because regression analysis is the main statistical tool used in building models. Some readers even wanted me to include topics like hypothesis testing and ANOVA, but I feel that these topics should not be covered in a beginner’s book. These topics can be found fully illustrated in specialized MATLAB books on statistics – check the updated list of references for titles of three to four books in this regard. All four chapters on statistics employ the various “statistics” commands found in the main MATLAB package, without resort to the specialized Statistics Toolbox . It should also be noted that the Statistics Toolbox is purchased separately from the MATLAB package and consists of a set of advanced MATLAB commands for specialized and advanced statistical tools, and these are beyond the scope of this book. Numerous other statistics toolboxes are also available on the market.
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