Elementary Statistics: A Workbook serves as a guide to elementary statistics. This book presents the various mathematical symbols used in the calculation of mean and variance.
Comprised of seven chapters, this book starts with an overview of the definition of several terms, including mean, variance, deviation score, sigma, and deviation score squared. This text then explores the method of calculation of the product-moment correlation coefficient r. Other chapters describe the analysis of variance, which provides us with one of the most effective ways of testing hypotheses. This book discusses as well the common assumption analysis of variance, which makes three assumptions that are not made by some other statistical methods. The final chapter deals with the importance of correlation coefficients and explains the analysis of the correlation matrix, which is only a shortcut to the analysis of the standardized score matrix.
This book is a valuable resource for students, teachers, statisticians, and mathematicians.
Comprised of seven chapters, this book starts with an overview of the definition of several terms, including mean, variance, deviation score, sigma, and deviation score squared. This text then explores the method of calculation of the product-moment correlation coefficient r. Other chapters describe the analysis of variance, which provides us with one of the most effective ways of testing hypotheses. This book discusses as well the common assumption analysis of variance, which makes three assumptions that are not made by some other statistical methods. The final chapter deals with the importance of correlation coefficients and explains the analysis of the correlation matrix, which is only a shortcut to the analysis of the standardized score matrix.
This book is a valuable resource for students, teachers, statisticians, and mathematicians.
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