Basic statistics for the behavioral sciences

Includes Glossary & Index

Introduction --
Statistics and the research processs --
Frequency distributions and percentiles --
Measures of central tendency: The mean, median, and mode --
Measures of variability: Range, variance, and standard deviation --
z-Score transformations and the normal curve model --
Describing relationships using correlations --
Linear regression and predicting variability --
Probability: Making decisions about chance events --
Overview of statistical hypothesis testing: The z-Test --
Significance testing of a single sample mean or a correlation coefficient: The t-Test --
Significance testing of two sample means: The t-Test --
Nonparametric procedures for frequency data and ranked data --
Appendixes. A: Interpolation. B: Additional formulas for computing probability. C: One-way repeated measures analysis of variance. D: Statistical tables. E: Answers to practice problems. F: Using HMSTAT.

"Basic statistics for the behavioral sciences demystifies and fully explains statistics without leaving out relevant topics or simply presenting formulas, in a format that is non-threatening and inviting to students. The author's clear, patiently crafted explanations, with an occasional touch of humor, teach students not only how to compute an answer, but also why they should perform the procedure or what their answer reveals about the data. The book achieves several objectives: it presents a conceptual-intuitive approach, presents statistics within an understandable research context, deals directly and positively with student weaknesses in mathematics, and introduces new terms and concepts in an integrated way. The result is a text that students can learn from as well as enjoy."--Publisher description.