Table of Content

Chapter 1 Displaying the order in a group of numbers Chapter 2 Central tendency and variability Chapter 3 Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability Chapter 4 Introduction to hypothesis testing Chapter 5 Hypothesis testing with means of samples Chapter 6 Making sense of statistical significance: Effect size and statistical power Chapter 7 Introduction to the t test: Single sample and dependent means Chapter 8 The t test for independent means Chapter 9 Introduction to the analysis of variance Chapter 10 Factorial analysis of variance Chapter 11 Correlation Chapter 12 Prediction Chapter 13 Chi-square tests Chapter 14 Strategies when population distributions are not normal: Data transformations and rank-order tests Chapter 15 Integration and the general linear model and Making sense of advanced statistical procedures in research articles"

Salient Features

Provides a concise summary of definitional formulas mathematically, verbally, and visually so students can understand the logic behind the procedure. The authors emphasizes on accessibility for all readers. Gives examples of how a statistical method is reported in current journal articles Engages in the most current statistical theory and application “How are you Doing” exercises for students serves as a checkpoint for each chapter SPSS screen shots are included within the text to further facilitate learning. Examples in the text show students how to compute SPSS procedures and include a worked out example with screen shots.