**Basic Statistics for the Behavioral Sciences 7th Edition by Gary Heiman, ISBN-13: 978-1133956525**

[PDF eBook eTextbook]

- Publisher: Cengage Learning; 7th edition (January 1, 2013)
- Language: English
- 504 pages
- ISBN-10: 1133956521
- ISBN-13: 978-1133956525

Packed with real-world illustrations and the latest data available, * BASIC STATISTICS FOR THE BEHAVIORAL SCIENCES, 7e* demystifies and fully explains statistics in a lively, reader-friendly format. The author’s clear, patiently crafted explanations with an occasional touch of humor, teach readers not only how to compute an answer but also why they should perform the procedure or what their answer reveals about the data. Offering a conceptual-intuitive approach, this popular book presents statistics within an understandable research context, deals directly and positively with potential weaknesses in mathematics, and introduces new terms and concepts in an integrated way.

**Table of Contents:**

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IFC4

Half Title

Title

Statement

Copyright

Dedication

Brief Contents

Contents

Preface to the Instructor

Ch 1: Introduction to Statistics

Getting Started

Introduction

Why is it Important to Learn Statistics (and how do I do that?)

Review of Mathematics Used in Statistics

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Ch 2: Statistics and the Research Process

Getting Started

Introduction

The Logic of Research

Applying Descriptive and Inferential Statistics

Understanding Experiments and Correlational Studies

The Characteristics of Scores

Statistics in Published Research: Using Statistical Terms

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Ch 3: Frequency Distributions and Percentiles

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about Frequency Distributions?

Simple Frequency Distributions

Types of Simple Frequency Distributions

Relative Frequency and the Normal Curve

Computing Cumulative Frequency and Percentile

Statistics in Published Research: Apa Publication Rules

A Word about Grouped Frequency Distributions

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 4: Measures of Central Tendency: The Mean, Median, and Mode

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about Central Tendency

What is Central Tendency

The Mode

The Median

Transformations and the Mean

Deviations around the Mean

Describing the Population Mean

Summarizing Research

Statistics in Published Research: Using the Mean

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 5: Measures of Variability: Range, Variance, and Standard Deviation

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about Measures of Variability?

Understanding the Variance and Standard Deviation

The Population Variance and the Population Standard Deviation

A Summary of the Variance and Standard Deviation

Computing Formulas for the Variance and Standard Deviation

Applying the Variance and Standard Deviation to Research

Statistics in Published Research: Reporting Variability

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 6: z-Scores and the Normal Curve

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about z-Scores?

Understanding z-Scores

Interpreting z-Scores Using the z-Distribution

Using z-Scores to Compare Different Variables

Using z-Scores to Determine the Relative Frequency of Raw Scores

Statistics in Published Research: Using z-Scores

Using z-Scores to Describe Sample Means

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 7: The Correlation Coefficient

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about Correlation Coefficients?

Understanding Correlational Research

Types of Relationships

Strength of the Relationship

The Pearson Correlation Coefficient

The Spearman Rank-Order Correlation Coefficient

The Restriction of Range Problem

Statistics in Published Research: Correlation Coefficients

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 8: Linear Regression

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about Linear Regression?

Understanding Linear Regression

The Linear Regression Equation

The Standard Error of the Estimate

Computing the Proportion of Variance Accounted for

A Word About Multiple Correlation and Regression

Statistics in Published Research: Linear Regression

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Halfway Review

Introduction

Ch 9: Using Probability to Make Decisions about Data

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about Probability?

The Logic of Probability

Computing Probability

Obtaining Probability from the Standard Normal Curve

Random Sampling and Sampling Error

Deciding Whether a Sample Represents a Population

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 10: Introduction to Hypothesis Testing

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about the z-Test?

The Role of Inferential Statistics in Research

Setting Up Inferential Procedures

Performing the z-Test

Interpreting Significant Results

Interpreting Nonsignificant Results

Summary of the z-Test

The One-Tailed Test

Errors in Statistical Decision Making

Statistics in Published Research: Reporting Significance Tests

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 11: Performing the One-Sample t-Test and Testing Correlation Coefficients

Getting Started

Introduction

Why is it Important to know about t-Tests?

Performing the One-Sample t-Test

Estimating µ by Computing a Confidence Interval

Statistics in Published Research: Reporting the t-Test

Significance Tests for Correlation Coefficients

Maximizing the Power of Statistical Tests

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 12: The Two-Sample t-Test

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about the two-Sample t-Test?

Understanding the Two-Sample t-Test

The Independent-Samples t-Test

Summary of the Independent-Samples t-Test

The Related-Samples t-Test

Statistical Hypotheses for the Related-Samples t-Test

Summary of the Related-Samples t-Test

Describing the Relationship in a Two-Sample Experiment

Statistics in Published Research: The Two-Sample Experiment

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 13: The One-Way Analysis of Variance

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about ANOVA?

An Overview of ANOVA

Understanding the ANOVA

Performing the ANOVA

Performing Post HOC Comparisons

Summary of Steps in Performing a One-Way ANOVA

Additional Procedures in the One-Way ANOVA

Statistics in Published Research: Reporting ANOVA

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 14: The Two-Way Analysis of Variance

Getting Started

Introduction

New Statistical Notation

Why is it Important to know about the Two-Way ANOVA?

Understanding the Two-Way Design

Overview of the Two-Way, Between-Subjects ANOVA

Computing the Two-Way ANOVA

Completing the Two-Way Experiment

Summary of the Steps in Performing a Two-Way ANOVA

Putting it All Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Ch 15: Chi Square and Other Nonparametric Procedures

Getting Started

Introduction

Why is it Important to know about Nonparametric Procedures?

Chi Square Procedures

One-Way Chi Square

The Two-Way Chi Square

Statistics in Published Research: Reporting Chi Square

Nonparametric Procedures for Ranked Data

Putting it all Together

Chapter Summary

Key Terms

Review Questions

Application Questions

Integration Questions

Summary of Formulas

Second-Half Review

Introduction

A: Additional Statistical Formulas

B: Using SPSS

C: Statistical Tables

D: Answers to Odd-Numbered Questions

Glossary

Index

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* Gary Heiman* is a professor at Buffalo State College. Praised by reviewers and adopters for his readable prose and effective pedagogical skills, he has written four books for Houghton Mifflin (now Cengage Learning): STATISTICS FOR THE BEHAVIORAL SCIENCES, RESEARCH METHODS IN PSYCHOLOGY, UNDERSTANDING RESEARCH METHODS AND STATISTICS, AND ESSENTIAL STATISTICS FOR THE BEHAVIORAL SCIENCES. He received his Ph.D. in cognitive psychology from Bowling Green State University.

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