This textbook offers an accessible and comprehensive introduction to statistics for all undergraduate psychology students, but particularly those in their second and third years who have already covered an initial introductory course. It covers all of the key areas in quantitative methods including sampling, significance tests, regression, and multivariate techniques and incorporates a range of exercises and problems at the end of each chapter for the student to follow.
The free CD-ROM with tutorial modules complements and enhances the exercises in the text, offers scope for distance learning, and makes both the traditional and non-traditional approaches much more accessible.
Key points of the book are: an emphasis on measurement, data summaries and graphs; a clear explanation of statistical inference using sampling distributions and confidence intervals, making significance tests much easier to understand; and help for students to understand and judge the use of particular tests in the research context beyond simple recipe following.
Chapter 7: Predicting a Quantitative Variable from a Categorical Variable: The t-Test and Analysis of Variance
Predicting a Quantitative Variable from a Categorical Variable: The t-Test and Analysis of Variance
Comparing Means from Two Independent Samples
In Chapter 4, we compared within-subjects designs with between-subjects designs as alternative approaches to planning experiments. Between-subjects experiments are those in which participants are randomly assigned to one experimental condition only. The key to understanding statistical inference in between-subjects experiments is randomized assignment. It enables researchers to analyze the data from such experiments as if the experimental conditions provided ...