Essentials of Statistics for the Behavioral Sciences

ISBN-10: 053463396X
ISBN-13: 9780534633967
Edition: 5th 2005
List price: $139.95
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Description: This brief version of Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors take time  More...

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Book details

List price: $139.95
Edition: 5th
Copyright year: 2005
Publisher: Wadsworth
Publication date: 7/22/2004
Binding: Paperback
Pages: 544
Size: 8.25" wide x 10.00" long x 0.75" tall
Weight: 2.530
Language: English

This brief version of Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors take time to explain statistical procedures so that students can go beyond memorizing formulas and gain a conceptual understanding of statistics. By integrating applications to ensure that even students with a weak background in mathematics can understand statistics, the authors skillfully demonstrate that having an understanding of statistical procedures help them comprehend published findings, and become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing.

Frederick J Gravetter is Professor Emeritus of Psychology at The College at Brockport, State University of New York College. While teaching at Brockport, he specialized in statistics, research design, and cognitive psychology. Dr. Gravetter received his Bachelor's degree in mathematics from M.I.T. and his Ph.D. in psychology from Duke University. In addition to publishing several research articles, Dr. Gravetter is co-author of the best-selling STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 8th Edition, and (with Lori-Ann B. Forzano) RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 5th Edition.

Larry B. Wallnau is Professor Emeritus of Psychology at the State University of New York College at Brockport. The recipient of grants and awards in both research and teaching, Dr. Wallnau has published numerous research articles primarily on the effect of psychotropic drugs. With Frederick J Gravetter, he has co-authored previous editions of STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Ninth Edition, and ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Sixth Edition.

Introduction to Statistics
Statistics, Science, and Observations
Populations and Samples
The Scientific Method and the Design of Research Studies
Scales of Measurement
Discrete and Continuous Variables
Statistical Notation
Summary
Focus on Problem Solving
Problems
Frequency Distributions
Introduction
Frequency Distribution Tables
Frequency Distribution Graphs
The Shape of a Frequency Distribution
Summary
Focus on Problem Solving
Problems
Central Tendency
Introduction
The Mean
The Median
The Mode
Selecting a Measure of Central Tendency
In the Literature: Reporting Measures of Central Tendency
Central Tendency and the Shape of the Distribution
Summary
Focus on Problem Solving
Problems
Variability
Introduction
The Range
The Interquartile Range and Semi-interquartile Range
Standard Deviation and Variance for a Population
Standard Deviation and Variance for Samples
More about Variance and Standard Deviation
In the Literature: Reporting the Standard Deviation
Summary
Focus on Problem Solving
Problems
z-Scores: Location of Scores and Standardized Distributions
Overview
Introduction to z-Scores
z-Scores and Location in a Distribution
Using z-Scores to Standardize a Distribution
Other Standardized Distributions Based on z-Scores
Summary
Focus on Problem Solving
Problems
Probability
Introduction to Probability
Probability and the Normal Distribution
Summary
Focus on Problem Solving
Problems
Probability and Samples: The Distribution of Sample Means
Samples and Sampling Error
The Distribution of Sample Means
Probability and the Distribution of Sample Means
More about Standard Error
In the Literature: Reporting Standard Error
Summary
Focus on Problem Solving
Problems
Introduction to Hypothesis Testing
The Logic of Hypothesis Testing
Uncertainty and Errors in Hypothesis Testing
An Example of a Hypothesis Test
In the Literature: Reporting the Results of the Statistical Test
Directional (One-Tailed) Hypothesis Tests
The General Elements of Hypothesis Testing: A Review
Summary
Focus on Problem Solving
Problems
Introduction to the t Statistic
Overview
Hypothesis Tests with the t Statistic
In the Literature: Reporting the Results of a t Test
Summary
Focus on Problem Solving
Problems
The t Test for Two Independent Samples
Overview
The t Statistic for an Independent-Measures Research Design
Hypothesis Tests with the Independent-Measures t Statistic
In the Literature: Reporting the Results of an Independent-Measures t Test
Assumptions Underlying the Independent-Measures t Formula
Summary
Focus on Problem Solving
Problems
The t Test for Two Related Samples
Overview
The t Statistic for Related Samples
Hypothesis Tests for the Repeated-Measures Design
In the Literature: Reporting the Results of a Repeated-Measures t Test
Uses and Assumptions for Related-Samples t Tests
Summary
Focus on Problem Solving
Problems
Estimation
An Overview of Estimation
Estimation with the t Statistic
A Final Look at Estimation
Summary
Focus on Problem Solving
Problems
Introduction to Analysis of Variance
Introduction
The Logic of Analysis of Variance
ANOVA Notation and Formulas
The Distribution of F-Ratios
Examples of Hypothesis Testing with ANOVA
In the Literature: Reporting the Results of Analysis of Variance
Post Hoc Tests
Summary
Focus on Problem Solving
Problems
More Advanced Analysis of Variance: Repeated-Measures and Two-Factor Designs
Overview
Repeated-Measures Analysis of Variance (ANOVA)
In the Literature: Reporting the Results of a Repeated-Measure ANOVA
Two-Factor Analysis of Variance (Independent Measures)
In the Literature: Reporting the Results of a Two-Factor ANOVA
Summary
Focus on Problem Solving
Problems
Correlation and Regression
Introduction
The Pearson Correlation
Using and Interpreting the Pearson Correlation
Hypothesis Tests with the Pearson Correlation
In the Literature: Reporting Correlations
The Spearman Correlation
Introduction to Regression
Summary
Focus on Problem Solving
Problems
The Chi-Square Statistic: Tests for Goodness of Fit and Independence
Parametric and Nonparametric Statistical Tests
The Chi-Square Test for Goodness of Fit
In the Literature: Reporting the Results for Chi-Square
The Chi-Square Test for Independence
Assumptions and Restrictions for Chi-Square Tests
Summary
Focus on Problem Solving
Problems
Basic Mathematics Review
Statistical Tables
Solutions for Odd-Numbered Problems in the Text
Statistics Organizer
References
Index

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