Sprinthall R.C. Basic Statistical Analysis

New York: Pearson, 2013. — 646 p.The material in this user-friendly text is presented as simply as possible to ensure that students will gain a solid understanding of statistical procedures and analysis.
The goal of this book is to demystify and present statistics in a clear, cohesive manner. The student is presented with rules of evidence and the logic behind those rules. The book is divided into three major units: Descriptive Statistics, Inferential Statistics, and Advanced Topics in Inferential Statistics.
Every effort has been made to keep the writing as clear as possible and always aimed at the student's life space. Computational procedures are laid out in a step-by-step, programmed format. This is a straightforward presentation of the essentials of statistical analysis emphasizing the constant interaction between statistical techniques and the resarch methodology.Introduction to Statistics
Percentages, Graphs and Measures of Central Tendency
Variability
The Normal Curve and z Scores
z Scores Revisited: T Scores and Other Normal Curve Transformations
Probability
Statistics and Parameters
Parameter Estimates and Hypothesis Testing
The Fundamentals of Research Methodology
The Hypothesis of Difference
The Hypothesis of Association: Correlation
Analysis of Variance
Nominal Data and the Chi Square
Regression Analysis
Repeated-Measures and Matched-Subjects Designs With Interval Data
Nonparametrics Revisited: The Ordinal
Tests and Measurements
Special Unit: The Binomial Case
Special Unit: The Problem of Unequal Variances: Levene and Welch
Appendix: Moments of the Curve; Writing up the Statistical Results; Tables
Appendix: Program Instructions for SPSS, Student Version SPSS: The ABC's