RENT TEXTBOOKS

FREE SHIPPING BOTH WAYS

ON EVERY ORDER!

LIST PRICE:

$182.00

Sorry, this item is currently unavailable.

Basic Statistics for Behavioral Science

by: Heiman, Gary W.

ISBN: 9780618528134 | 061852813X

Edition: 5th
Format: Hardcover
Publisher: Cengage Learning
Pub. Date: 7/8/2005

Newer Edition Available

Why Rent from Knetbooks?

Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!

Top 5 reasons to order all your textbooks from Knetbooks:

We have the lowest prices on thousands of popular textbooks
Free shipping both ways on ALL orders
Most orders ship within 48 hours
Need your book longer than expected? Extending your rental is simple
Our customer support team is always here to help

Summary Table of Contents

"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. Gary Heiman has written a textbook--clearly, patiently, and with an occasional touch of humor--that teaches students not only "how "to compute an answer on demand, but also "why "they should perform the procedure or what their answer reveals about the data. Heiman has achieved five objectives in writing this text: to take a concep... MORE

Preliminary Contents Note: Each Chapter begins with Getting Started and ends with Putting It All Together, Chapter Summary, Key Terms, Review Questions, and Application Questions. 1. Introduction to Statistics Why Is It Important to Learn Statistics (and How Do You Do That?) Review of Mathematics Used in Statistics 2. Statistics and the Research Process The Logic of Research Applying Descriptive and Inferential Statistics Understanding Experiments and Correlational Studies A Quick Review: A Word about Causality The Characteristics of Scores The... MORE Four Types of Measurement Scales Statistics in Published Research: Using Statistical Terms 3. Frequency Distributions and Percentiles New Statistical Notation Why Is It Important to Know about Frequency Distributions? Simple Frequency Distributions A Quick Review: Graphing a Simple Frequency Distribution Types of Frequency Distributions Labeling 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 Summary of Formulas 4. Measures of Central Tendency; The Mean, Median, and Mode New Statistical Notation Why Is It Important to Know About Central Tendency? What Is Central Tendency? The Mode The Median The Mean A Quick Review: Comparing the Mean, Median, and Mode Transformations and the Mean Deviations Around the Mean A Quick Review Describing the Population Mean Summarizing an Experiment A Quick Review: Inferring the Relationship in the Population Statistics in Published Research: Using the Mean Summary of Formulas 5. Measures of Variability: Range, Variance, and Standard Deviation New Statistical Notation Why Is It Important to Know about Measures of Variability? The Range Understanding the Variance and Standard Deviation Computing the Sample Variance and Sample Standard Deviation A Quick Review: Mathematical Constants and the Standard Deviation The Population Variance and the Population Standard Deviation Summary of the Variance and Standard Deviation Applying the Variance and Standard Deviation to Research Statistics in Published Research: Reporting Variability Summary of Formulas 6. z-Scores and the Normal Curve Model 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 Summary of Formulas 7. The Correlation Coefficient 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 Correlations in the Population Statistics in Published Research: Correlation Coefficients Summary of Formulas 8. Linear Regression New Statistical Notation Why Is It Important to Know About Linear Regression? Understanding Linear Regression The Linear Regression Equation The Proportion of Variance Accounted For A Word About Multiple Correlation and Regression Statistics in Published Research: Linear Regression Summary of Formulas 9. Using Probability to Make Decisions 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 Summary of Formulas 10. Introduction to Hypothesis Testing New Statistical Notation Why Is It Important to Know About the z-Tests? 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 Statistics in Published Research: Reporting Significance Tests The One-Tailed Test Errors in Statistical Decision Making Summary of Formulas 11. Performing the One-Sample t-Test and Testing Correlation Coefficients New Statistical Notation Why Is It Important to Know About t-Tests? Performing the One-Sample t-Test A Quick Review: The t-Distribution and Degrees of Freedom; Using the t-Tables; Interpreting the t-Test; The One-Tailed t-Test; Some Help When Using the t-Tables Estimating mu; by Computing a Confidence Interval A Quick Review: Summary of the One-Sample t-Test Statistics in Published Research: Reporting the t-Test Significance for Correlation Coefficients Maximizing the Power of Statistical Tests Summary of Formulas 12. The Two-Sample t-Test New Statistical Notation Why Is It Important to Know About the Two-Sample t-Test? Understanding the Two-Sample Experiment The Independent-Samples t-Test Summary of the Independent-Samples t-Test 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 Summary of Formulas 13. The One-Way Analysis of Variance New Statistical Notation Why Is It Important to Know About ANOVA? An Overview of ANOVA Components of 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 Summary of Formulas 14. The Two-Way Analysis of Variance 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 Interpreting the Two-Way Experiment Summary of the Steps in Performing a Two-Way ANOVA Statistics in Published Research: Reporting ANOVA Summary of Formulas 15. Chi Square and Other Nonparametric Procedures New Statistical Notation Why Is It Important to Know About Nonparametric Procedures? Chi Square Procedures One-Way Chi Square: The Goodness of the Fit Test The Two-Way Chi Square: The Test of Independence A Quick Review: Describing the Relationship in a Two-Way Chi Square Statistics in Published Research: Reporting x2 Nonparametric Procedures for Ranked Data Summary of Formulas Appendices

RENT TEXTBOOKS

Basic Statistics for Behavioral Science

Why Rent from Knetbooks?

Top 5 reasons to order all your textbooks from Knetbooks:

Related Products