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Mathematics
Nutrition science This is a textbook for learning the idea of statistics necessary for research with a related example. It explains in an easy-to-understand way the techniques necessary for the practice of multiple comparison from the way of handling data. It is a useful book that helps you not only during lectures but also during graduation thesis and research! [Main contents] Chapter 1 Nutrition science and statistics Chapter 2 Types of data Chapter 3 Frequency distribution charts and representative values Chapter 4 Dispersion of data Chapter 5 Normal distribution Chapter 6 Estimating the population from the sample population Chapter 7 Concepts of testing Chapter 8 Two comparison of sample means Chapter 9 Comparison of the means of three or more groups Chapter 10 Correlation of two variables Chapter 11 Regression analysis of two variables Chapter 12 Multivariate relationships Chapter 13 Study Design and Crosstabulation Chapter 14 Analysis of Crosstabulation Chapter 15 Application of Crosstabulation and Survival