Essentials of Statistics for the Behavioral Sciences (10th Edition)

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Download Essentials of Statistics for the Behavioral Sciences (10th Edition) written by Frederick J. Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, James E. Witnauer in PDF format. This book is under the category Sociology and bearing the isbn/isbn13 number 357365291/9780357365298. You may reffer the table below for additional details of the book.

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Specifications

book-author

Frederick J. Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, James E. Witnauer

publisher

Cengage Learning; 10th edition

file-type

PDF

pages

608 pages

language

English

asin

B0848JG9SZ

isbn10

357365291

isbn13

9780357365298


Book Description

Updated with the latest research that’s relevant to today’s learners; Wallnau/Gravetter/Forzano/Witnauer’s Essentials Of Statistics For The Behavioral Sciences; 10th Edition; (PDF) offers straightforward instruction; hands-on learning tools; unrivaled accuracy and ample of real-world examples and illustrations. Giving extra emphasis to difficult topics; the expert writers take time to explain statistical procedures so that readers can go beyond learning formulas to truly understanding the whys and hows of statistics. Integrated applications strengthen basic and advance concepts; ensuring that even those with a weak background in mathematics can fully understand all the statistical concepts. As a consequence; college students and readers become savvy consumers of information.

Review

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P.S. Please get in touch if you want Essentials Of Statistics For The Behavioral Sciences 10e Testbank; instructor solutions manual or other resources.

NOTE: The product only includes the ebook; Essentials Of Statistics For The Behavioral Sciences; 10th Edition in PDF. MindTap or any access codes are NOT included.

Additional information

book-author

Frederick J. Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, James E. Witnauer

publisher

Cengage Learning; 10th edition

file-type

PDF

pages

608 pages

language

English

asin

B0848JG9SZ

isbn10

357365291

isbn13

9780357365298

Table of contents


Table of contents :
Cover
Brief Contents
Contents
Preface
About the Authors
Chapter 1: Introduction to Statistics
Preview
1-1 Statistics and Behavioral Sciences
1-2 Observations, Measurement, and Variables
1-3 Three Data Structures, Research Methods, and Statistics
1-4 Statistical Notation
Summary
Key Terms
Focus on Problem Solving
Demonstration 1.1
SPSS
Problems
Chapter 2: Frequency Distributions
Preview
2-1 Frequency Distributions and Frequency Distribution Tables
2-2 Grouped Frequency Distribution Tables
2-3 Frequency Distribution Graphs
2-4 Stem and Leaf Displays
Summary
Key Terms
Focus on Problem Solving
Demonstration 2.1
Demonstration 2.2
SPSS
Problems
Chapter 3: Central Tendency
Preview
3-1 Overview
3-2 The Mean
3-3 The Median
3-4 The Mode
3-5 Central Tendency and the Shape of the Distribution
3-6 Selecting a Measure of Central Tendency
Summary
Key Terms
Focus on Problem Solving
Demonstration 3.1
SPSS
Problems
Chapter 4: Variability
Preview
4-1 Introduction to Variability
4-2 Defining Variance and Standard Deviation
4-3 Measuring Variance and Standard Deviation for a Population
4-4 Measuring Variance and Standard Deviation for a Sample
4-5 Sample Variance as an Unbiased Statistic
4-6 More about Variance and Standard Deviation
Summary
Key Terms
Focus on Problem Solving
Demonstration 4.1
SPSS
Problems
Chapter 5: z-Scores: Location of Scores and Standardized Distributions
Preview
5-1 Introduction
5-2 z- Scores and Locations in a Distribution
5-3 Other Relationships between z, X, the Mean, and the Standard Deviation
5-4 Using z-Scores to Standardize a Distribution
5-5 Other Standardized Distributions Based on z-Scores
5-6 Looking Ahead to Inferential Statistics
Summary
Key Terms
Focus on Problem Solving
Demonstration 5.1
Demonstration 5.2
SPSS
Problems
Chapter 6: Probability
Preview
6-1 Introduction to Probability
6-2 Probability and the Normal Distribution
6-3 Probabilities and Proportions for Scores from a Normal Distribution
6-4 Percentiles and Percentile Ranks
6-5 Looking Ahead to Inferential Statistics
Summary
Key Terms
Focus on Problem Solving
Demonstration 6.1
SPSS
Problems
Chapter 7: Probability and Samples: The Distribution of Sample Means
Preview
7-1 Samples, Populations, and the Distribution of Sample Means
7-2 Shape, Central Tendency, and Variability for the Distribution of Sample Means
7-3 z-Scores and Probability for Sample Means
7-4 More about Standard Error
7-5 Looking Ahead to Inferential Statistics
Summary
Key Terms
Focus on Problem Solving
Demonstration 7.1
SPSS
Problems
Chapter 8: Introduction to Hypothesis Testing
Preview
8-1 The Logic of Hypothesis Testing
8-2 Uncertainty and Errors in Hypothesis Testing
8-3 More about Hypothesis Tests
8-4 Directional (One-Tailed) Hypothesis Tests
8-5 Concerns about Hypothesis Testing: Measuring Effect Size
8-6 Statistical Power
Summary
Key Terms
Focus on Problem Solving
Demonstration 8.1
Demonstration 8.2
Demonstration 8.3
SPSS
Problems
Chapter 9: Introduction to the t Statistic
Preview
9-1 The t Statistic: An Alternative to z
9-2 Hypothesis Tests with the t Statistic
9-3 Measuring Effect Size for the t Statistic
9-4 Directional Hypotheses and One-Tailed Tests
Summary
Key Terms
Focus on Problem Solving
Demonstration 9.1
Demonstration 9.2
SPSS
Problems
Chapter 10: The t Test for Two Independent Samples
Preview
10-1 Introduction to the Independent-Measures Design
10-2 The Hypotheses and the Independent-Measures t Statistic
10-3 Hypothesis Tests with the Independent-Measures t Statistic
10-4 Effect Size and Confidence Intervals for the Independent-Measures t
10-5 The Role of Sample Variance and Sample Size in the Independent-Measures t Test
Summary
Key Terms
Focus on Problem Solving
Demonstration 10.1
Demonstration 10.2
SPSS
Problems
Chapter 11: The t Test for Two Related Samples
Preview
11-1 Introduction to Repeated-Measures Designs
11-2 The t Statistic for a Repeated-Measures Research Design
11-3 Hypothesis Tests for the Repeated-Measures Design
11-4 Effect Size, Confidence Intervals, and the Role of Sample Size and Sample Variance for the Repeated-Measures t
11-5 Comparing Repeated- and Independent-Measures Designs
Summary
Key Terms
Focus on Problem Solving
Demonstration 11.1
Demonstration 11.2
SPSS
Problems
Chapter 12: Introduction to Analysis of Variance
Preview
12-1 Introduction: An Overview of Analysis of Variance
12-2 The Logic of Analysis of Variance
12-3 ANOVA Notation and Formulas
12-4 Examples of Hypothesis Testing and Effect Size with ANOVA
12-5 Post Hoc Tests
12-6 More about ANOVA
Summary
Key Terms
Focus on Problem Solving
Demonstration 12.1
Demonstration 12.2
SPSS
Problems
Chapter 13: Two-Factor Analysis of Variance
Preview
13-1 An Overview of the Two-Factor, Independent- Measures ANOVA
13-2 An Example of the Two-Factor ANOVA and Effect Size
13-3 More about the Two-Factor ANOVA
Summary
Key Terms
Focus on Problem Solving
Demonstration 13.1
SPSS
Problems
Chapter 14: Correlation and Regression
Preview
14-1 Introduction
14-2 The Pearson Correlation
14-3 Using and Interpreting the Pearson Correlation
14-4 Hypothesis Tests with the Pearson Correlation
14-5 Alternatives to the Pearson Correlation
14-6 Introduction to Linear Equations and Regression
Summary
Key Terms
Focus on Problem Solving
Demonstration 14.1
SPSS
Problems
Chapter 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence
Preview
15-1 Introduction to Chi-Square: The Test for Goodness of Fit
15-2 An Example of the Chi-Square Test for Goodness of Fit
15-3 The Chi-Square Test for Independence
15-4 Effect Size and Assumptions for the Chi-Square Tests
Summary
Key Terms
Focus on Problem Solving
Demonstration 15.1
Demonstration 15.2
SPSS
Problems
Appendixes
Appendix A: Basic Mathematics Review
Appendix B: Statistical Tables
Appendix C: Solutions for Odd-Numbered Problems in the Text
Appendix D: General Instructions for Using SPSS
Statistics Organizer: Finding the Right Statistics for Your Data
Summary of Statistics Formulas
References
Name Index
Subject Index

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