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This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand. This is an introductory textbook on probability and statistics. The authors explain theoretical concepts in a step-by-step manner and provide practical examples. The introductory chapter in this book presents the basic concepts. Next, the authors discuss the measures of location, popular measures of spread, and measures of skewness and kurtosis.

Descriptive statistics
Measures of location
Measures of spread
Skewness and kurtosis
Probability
Discrete distributions
Continuous distributions
Mathematical expectation
Generating functions
Functions of random variables
Joint distributions