learning from data: an introduction to statistical reasoning

ISBN-13: 9780805849219 / Angielski / Twarda / 2007 / 580 str.

Matthew Andrzejewski; Arthur M. Glenberg

Opis

This text focuses on how to interpret psychological data and statistical results. The authors' review the basics of statistical reasoning to help students better understand relevant data that affect their everyday lives.

Spis treści

Contents: Preface. Why Statistics? Part I: Descriptive Statistics. Frequency Distributions and Percentiles. Central Tendency and Variability. z Scores and Normal Distributions. Part II: Introduction to Inferential Statistics. Overview of Inferential Statistics. Probability. Sampling Distributions. Logic of Hypothesis Testing. Power. Logic of Parameter Estimation. Part III: Applications of Inferential Statistics. Inferences About Population Proportions Using the z Statistic. Inferences About µ When o Is Unknown: The Single Sample t Test. Comparing Two Populations: Independent Samples. Random Sampling, Random Assignment, and Causality. Comparing Two Populations: Dependent Samples. Comparing Two Population Variances: The F Statistic. Comparing Multiple Population Means: One-Factor ANOVA. Introduction to Factorial Designs. Computational Methods for the Factorial ANOVA. Describing Linear Relationships: Regression. Measuring the Strength of Linear Relationships: Correlation. Inferences From Nominal Data: The X² Statistic.

O autorze

Arthur M. Glenberg is a Professor of Psychology and Educational Psychology at the University of Wisconsin–Madison in the area of cognitive/perceptual sciences. He received his Ph.D. in 1974 from the University of Michigan. Matthew E. Andrzejewski is a Research Scientist in the Department of Psychiatry, studying behavioral neuroscience, and a lecturer in the Department of Psychology at the University of Wisconsin–Madison. He received his Ph.D. in 2001 from Temple University.