This book guides the reader in a simple way to easily perform statistical analyses encountered in undergraduate, postgraduate, and doctoral studies.

The reader learns through examples the purpose of a statistical analysis, how to run it easily, identify key points of the analysis, and describe the results. All analyses are presented through published examples in scientific journals, step by step, with the help of images from the Statistical Package for Social Sciences - SPSS.

At the beginning of the book, the basics of statistics are presented with examples, such as types of variables, what is population and sample, descriptive statistics, what is a normal curve, confidence levels, hypothesis testing, degrees of freedom, standard deviation, and standard error. Then, through examples from published data, the general linear model, correlation analysis, chi-square, t-test, analysis of variance and covariance, factor analysis, reliability analysis, regression analysis, multivariate analysis of variance and covariance, and analysis of repeated measures are presented.