Statistics for Social Science
Statistics for Social Science

Statistics for Social Science

Lead Author(s): Stephen Hayward

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Statistics for Social Science takes a fresh approach to the introductory class. With learning check questions, embedded videos and interactive simulations, students engage in active learning as they read. An emphasis on real-world and academic applications help ground the concepts presented. Designed for students taking an introductory statistics course in psychology, sociology or any other social science discipline.

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Key features in this textbook

Our Statistics for Social Science textbook allows students to manipulate data, visualize the effects discussed, and explore Lightboard videos that feature instructor explanations to reinforce concepts and calculations.
Top Hat’s interactive offering includes a complementary module on using R software for data management, graphics, and conducting statistical analyses with examples and practice questions.
Built-in assessment questions embedded throughout chapters so students can read a little, do a little, and test themselves to see what they know!

Comparison of Social Sciences Textbooks

Consider adding Top Hat’s Statistics for Social Sciences textbook to your upcoming course. We’ve put together a textbook comparison to make it easy for you in your upcoming evaluation.

Top Hat

Steve Hayward et al., Statistics for Social Sciences, Only one edition needed

Pearson

Agresti, Statistical Methods for the Social Sciences, 5th Edition

Cengage

Gravetter et al., Essentials of Statistics for The Behavioral Sciences, 9th Edition

Sage

Gregory Privitera, Essentials Statistics for the Behavioral Sciences, 2nd Edition

Pricing

Average price of textbook across most common format

Up to 40-60% more affordable

Lifetime access on any device

$200.83

Hardcover print text only

$239.95

Hardcover print text only

$92

Hardcover print text only

Always up-to-date content, constantly revised by community of professors

Content meets standard for Introduction to Anatomy & Physiology course, and is updated with the latest content

In-Book Interactivity

Includes embedded multi-media files and integrated software to enhance visual presentation of concepts directly in textbook

Only available with supplementary resources at additional cost

Only available with supplementary resources at additional cost

Only available with supplementary resources at additional cost

Customizable

Ability to revise, adjust and adapt content to meet needs of course and instructor

All-in-one Platform

Access to additional questions, test banks, and slides available within one platform

Pricing

Average price of textbook across most common format

Top Hat

Steve Hayward et al., Statistics for Social Sciences, Only one edition needed

Up to 40-60% more affordable

Lifetime access on any device

Pearson

Agresti, Statistical Methods for the Social Sciences, 5th Edition

$200.83

Hardcover print text only

Pearson

Gravetter et al., Essentials of Statistics for The Behavioral Sciences, 9th Edition

$239.95

Hardcover print text only

Sage

McConnell, Brue, Flynn, Principles of Microeconomics, 7th Edition

$92

Hardcover print text only

Always up-to-date content, constantly revised by community of professors

Constantly revised and updated by a community of professors with the latest content

Top Hat

Steve Hayward et al., Statistics for Social Sciences, Only one edition needed

Pearson

Agresti, Statistical Methods for the Social Sciences, 5th Edition

Pearson

Gravetter et al., Essentials of Statistics for The Behavioral Sciences, 9th Edition

Sage

Gregory Privitera, Essentials Statistics for the Behavioral Sciences, 2nd Edition

In-book Interactivity

Includes embedded multi-media files and integrated software to enhance visual presentation of concepts directly in textbook

Top Hat

Steve Hayward et al., Statistics for Social Sciences, Only one edition needed

Pearson

Agresti, Statistical Methods for the Social Sciences, 5th Edition

Pearson

Gravetter et al., Essentials of Statistics for The Behavioral Sciences, 9th Edition

Sage

Gregory Privitera, Essentials Statistics for the Behavioral Sciences, 2nd Edition

Customizable

Ability to revise, adjust and adapt content to meet needs of course and instructor

Top Hat

Steve Hayward et al., Statistics for Social Sciences, Only one edition needed

Pearson

Agresti, Statistical Methods for the Social Sciences, 5th Edition

Pearson

Gravetter et al., Essentials of Statistics for The Behavioral Sciences, 9th Edition

Sage

Gregory Privitera, Essentials Statistics for the Behavioral Sciences, 2nd Edition

All-in-one Platform

Access to additional questions, test banks, and slides available within one platform

Top Hat

Steve Hayward et al., Statistics for Social Sciences, Only one edition needed

Pearson

Agresti, Statistical Methods for the Social Sciences, 5th Edition

Pearson

Gravetter et al., Essentials of Statistics for The Behavioral Sciences, 9th Edition

Sage

Gregory Privitera, Essentials Statistics for the Behavioral Sciences, 2nd Edition

About this textbook

Lead Authors

Steve HaywardRio Salado College

A lifelong learner, Steve focused on statistics and research methodology during his graduate training at the University of New Mexico. He later founded and served as CEO of Center for Performance Technology, providing instructional design and training development support to larger client organizations throughout the United States. Steve is presently lead faculty member for statistics at Rio Salado College in Tempe, Arizona.

Joseph F. Crivello, PhDUniversity of Connecticut

Joseph Crivello has taught Anatomy & Physiology for over 34 years, and is currently a Teaching Fellow and Premedical Advisor of the HMMI/Hemsley Summer Teaching Institute.

Contributing Authors

Susan BaileyUniversity of Wisconsin

Deborah CarrollSouthern Connecticut State University

Alistair CullumCreighton University

William Jerry HauseltSouthern Connecticut State University

Karen KampenUniversity of Manitoba

Adam SullivanBrown University

Explore this textbook

Read the fully unlocked textbook below, and if you’re interested in learning more, get in touch to see how you can use this textbook in your course today.

Version 3.3.3

Table of Contents

1- Introduction to Statistics
1.01- What is 'Statistics'?
1.02- Populations and Samples
1.03- Parameters and Statistics
1.04- Descriptive Statistics and Inferential Statistics
1.05- Quantitative and Qualitative Data
1.06- Levels of Measurement
1.07- Variables
1.08- Design of Statistical Studies
1.09- Types of Studies
1.10- Validity and Reliability
1.11- Sampling Methods
1.12- A Day Without Statistics
1.13- Case Study: Is Drinking Coffee Good for You?

2- Descriptive Statistics
2.01-Summarizing Data
2.02- Frequency tables
2.03- Grouped Frequency Tables
2.04- Charts and Graphs
2.05- Modality of a distribution
2.06- Skewness
2.07- Measures of Central Tendency
2.08- Quartiles, Deciles, and Percentiles
2.09- Dispersion of Scores (Variability)
2.10- Population Variance and Standard Deviation
2.11- Sample Variance and Standard Deviation
2.12- Rounding Rules
2.12- Case Study: Statistics Aren't the Whole Story  

3- The Normal Distribution and Normal Curve
3.01- Distributions of Data
3.02- The Normal Distribution
3.03- The Normal Curve
3.04- Characteristics of the Normal Distribution and Its Graph, the Normal Curve
3.05- The Empirical Rule
3.06- Determine Whether a Data Set is Normally Distributed
3.07- Determine Mean and Standard Deviation of a Known Distribution
3.08- Chebyshev's Theorem
3.09- Introduction to z-Scores
3.10- The Standard Normal Distribution
3.11- Calculation of z-Scores
3.12- The Empirical Rule Applied to z-Scores
3.13- The Normal Curve and Probability
3.14- Case Study: U.S. Household Incomes 

4- Introduction to Probability 
4.01- Why Study Probability?
4.02- What is Probability?
4.03- What is a Probability Experiment?
4.04- What is Sample Space?
4.05- Events
4.06- Types of Probability
4.07- Types of Events
4.08- The Fundamental Counting Principle
4.09- The Multiplication Rule
4.10- The Addition Rule
4.11- Odds
4.12- Case Study: The Monty Hall Problem 

5- Discrete Probability Distributions
5.01- What is a Random Variable?
5.02- Discrete vs. Continuous Random Variables
5.03- Discrete Probability Distributions
5.04- About Factorials!
5.05- Permutations and Combinations
5.06- Binomial Experiment
5.07- Probabilities of Outcomes in Binomial Trials
5.08- Mean, Variance and Standard Deviation of a Binomial
5.09- Distribution of Outcomes in Binomial Trials
5.10- Distributions When Events Are Determined by Multiple Factors
5.11- Case Study: Identity Theft  

6- Normal Probability Distributions 
6.01- The Normal Curve as a Chart of the Distribution
6.02- The Normal Curve as a Chart of a Variable
6.03- Characteristics of the Normal Curve
6.04- Symmetry and Central Tendency
6.05- Normal Curve and z-Score Review
6.06 Introducing the Standard Normal Table
6.07- Using the Standard Normal Table to Find z-Scores
6.08- z-Score to Raw Score Conversion
6.09- Introduction to Sampling Distributions
6.10- The Central Limit Theorem
6.11- Finding Probabilities for Sample Means
6.12- The Normal Approximation to a Binomial Distribution
6.13- Applying a Continuity Correction
6.14- Case Study: Blood Pressure and Age  

7- Four Distributions: z, t, x2, and F
7.01- Early History
7.02- The Normal Distribution
7.03- The Standard Normal Distribution
7.04- The Standard Normal Table
7.05- The t-Distribution
7.06- Monte Carlo Experiments
7.07- The t-Table
7.08- The Chi-Square Distributions
7.09- The Chi-Square Table
7.10- The F-Distribution
7.11- The F-Table
7.12- Case Study: Cryptography and Chi-Square 

8- Confidence Intervals
8.01- What are Confidence Intervals and Why Do We Use Them?
8.02- Point Estimates and Interval Estimates
8.03- The Level of Confidence
8.04- The Three Most Common Levels of Confidence
8.05- Common Misinterpretations of Confidence Level
8.06- Confidence Interval vs. Confidence Level
8.07- The Margin of Error vs. Sampling Error
8.08- The Central Limit Theorem and Confidence Intervals
8.09- Assumptions for a Confidence Interval
8.10- Confidence Interval for the Mean
8.11- Confidence Intervals for Proportions
8.12- Effects of Changing the Sample Size
8.13- Case Study: The Religious Landscape Study

9- Introduction to Hypothesis Testing
9.01- What is a Hypothesis?
9.02- The Deductive/Inductive Process
9.03- Elements of an Experiment
9.04- The Scientific Method
9.05- Elements of a Hypothesis
9.06- Preparing to Write a Hypothesis Statement
9.07- The Cutoff Score
9.08- The Alpha or Significance Level
9.09- The p-Value Approach
9.10- Effect Size
9.11- Cohen's d as a Measure of Effect Size
9.12- Decision Error
9.13- Assumptions
9.14- Power of a Test
9.15- Steps of Hypothesis Testing
9.16- Case Study: Attention Span 

10- Single-Sample Hypothesis Testing
10.01- Steps of Hypothesis Testing
10.02- Stating the Hypothesis
10.03- Summary of Logic
10.04- Testing a Hypothesis About the Mean
10.05- Large Sample Testing Using the z-Test
10.06- P-Value Approach
10.07- Small Sample Testing Using the t-Test
10.08- P-Value Approach
10.09- Testing a Hypothesis About a Proportion
10.10- Hypothesis Testing Steps Summary
10.11- Case Study: Autism Prevalence 

11- Two-Sample Hypothesis Testing 
11.01- Comparisons of Means
11.02- The Standard Error of the Mean
11.03- Large Sample Testing Using the z-Test
11.04- Small Sample Testing Using the t-Test
11.05- Testing a Hypothesis about Two Means--Independent Samples
11.06- P-Value Approach
11.07- Effect Size
11.08- Confidence Interval for the Difference between Two Means--Independent Samples
11.09- Testing a Hypothesis about Two Means--Dependent Samples
11.10- Confidence Interval for the Difference between Two Means--Dependent Samples
11.11- Testing a Hypothesis about Two Proportions
11.12- Case Study: Online vs. Traditional Classroom Environments 

12- ANOVA and the F-distribution
12.01- The F-Distribution
12.02- Assumptions of the ANOVA Model
12.03- The F-Statistic
12.04- Using the F-Table
12.05- One-way ANOVA
12.06- Understanding and Calculating Effect Size: R2
12.07- Three-Sample ANOVA
12.08- Post-hoc Testing for Three or More Samples
12.09- The Logic and Interpretation of Within-Groups ANOVA
12.10- Two-Way ANOVA--Factorial Designs
12.11- ANOVA Summary
12.12- Case Study: The Flipped Classroom Study 

13- Tests for Goodness of Fit and Independence
13.01- When Would I Use Chi-Square?
13.02- Goodness of Fit Test
13.03- Test of Independence
13.04- The Chi-Square Distribution
13.05- The Chi-Square Statistic
13.06- Using the Chi-Square Table
13.07- Chi-Square Tests Overview
13.08- Goodness of Fit Test
13.09- Test of Independence
13.10- Case Study: Sleep Patterns among Adults in Different Family Types 

14- Correlation and Regression
14.01- What Are Correlation and Regression?
14.02- Types of Correlation Coefficient
14.03- Strength of a Correlation
14.04- Direction of a Correlation
14.05- Visualizing the Correlation with a Scatterplot
14.06- Calculating Pearson's r
14.07- The Coefficient of Determination
14.08- Rank Correlation
14.09- Significance of a Correlation
14.10- Correlation and Causality
14.11- Simple Linear Regression
14.12- The Standard Error of the Estimate
14.13- Case Study: Do Guns Make a Nation Safer?  

Reference Tables

R Module - Basics of R
1. Preface
2. Getting Started in R
3. Data in R
4. Tidy Data
5. Graphics in R