ABSTRACT

• An overview of descriptive and inferential statistics without formulas and computations.

• Clear and to-the-point narrative makes this short book perfect for all courses in which statistics are discussed.

• Helps statistics students who are struggling with the concepts. Shows them the meanings of the statistics they are computing.

• This book is easy to digest because it is divided into short sections with review questions at the end of each section.

• Running sidebars draw students’ attention to important concepts.

part |2 pages

Part A The Research Context

chapter 1|4 pages

The Empirical Approach to Knowledge

chapter 2|4 pages

Types of Empirical Research

chapter 3|6 pages

Introduction to Sampling

chapter 4|4 pages

Scales of Measurement

part |2 pages

Part B Descriptive Statistics

chapter 6|4 pages

Frequencies, Percentages, and Proportions

chapter 7|6 pages

Shapes of Distributions

chapter 8|4 pages

The Mean: An Average

chapter 9|4 pages

Mean, Median, and Mode

chapter 10|4 pages

Range and Interquartile Range

chapter 11|6 pages

Standard Deviation

part |2 pages

Part C Correlational Statistics

chapter 12|6 pages

Correlation

chapter 13|4 pages

Pearson r

chapter 14|4 pages

Coefficient of Determination

chapter 15|10 pages

Scattergram

chapter 16|6 pages

Multiple Correlation

part |2 pages

Part D Inferential Statistics

chapter 17|6 pages

Variations on Random Sampling

chapter 18|6 pages

Sample Size

chapter 19|6 pages

Standard Error of the Mean

chapter 20|6 pages

Introduction to the Null Hypothesis

chapter 21|6 pages

Decisions About the Null Hypothesis

chapter 22|4 pages

Introduction to the t Test

chapter 23|4 pages

Reports of the Results of t Tests

chapter 24|6 pages

One-Way ANOVA

chapter 25|8 pages

Two-Way ANOVA

chapter 26|6 pages

Chi-Square

chapter 27|6 pages

Limitations of Significance Testing

chapter 28|6 pages

Effect Size