# Statistics for the Social Scientist

Edition: 1

Pages: 142

## \$81.90

ISBN 9781792497667

Details Electronic Delivery EBOOK 180 days

Chapter 1. The Basics
I Hate Math
How to Combat the I Hate Math Idea
Numbers, Numbers, Numbers

Chapter 2. The Research Process, Methods, and Data
Research
Methods
Hypothesis
Data

Chapter 3. Frequencies, Proportions, Percentages, Ratios, Rates, and Cross-Tabulation
Frequency Distributions
Proportions and Percentages
Ratios
Rates
Rate of Change
Cross-Tabulations

Chapter 4. Central Tendency
What is Central Tendency?
Mode
Median
Mean
Choosing the Mode, Median, or Mean
Weighted Mean

Chapter 5. Measures of Variability
What is Variability?
Range
Interquartile Range
Deviation
Variance
Standard Deviation
A Note on Samples and Populations
Index of Qualitative Variation

Chapter 6. Probability
What is a Probability?
Calculating a Probability
Converse Rule
Multiplication Rule
Probability Distribution

Chapter 7. Samples and Populations
Samples versus Populations
Sampling Error
Symbols, Symbols, Symbols
Sampling Distribution of the Mean
Standard Error of the Mean
Confidence Intervals
Confidence Intervals with Proportions

Chapter 8. The Normal Curve
What is Normal Curve?
Appendix C Practice
Z-Scores

Chapter 9. The t-Tests
The t-Test
The t-Test for Independent Samples
Null and Research Hypotheses
Visualizing the t-Test
Type I and Type II Errors
Critical and Calculated Values
One-Tailed t-Test
One-Tailed t-Test Calculated
Two-Tailed t-Test Calculated
Effect Size
Proportions and t-Tests

Chapter 10. Analysis of Variance (ANOVA )
What Is the Difference Between a t-Test and ANOVA?
How to Calculate an ANOVA
Example Problem for ANOVA
Is the F Calculated Significant?
Post Hoc Analyses

Chapter 11. The Chi-Square (Nonparametric Statistics )
Chi-Square Tests
One-Way Chi-Square Test
Traditional Technique to Solve a Chi-Square
Table Technique to Solve a Chi-Square
Is the Chi-Square Significant?
The Two-Way Chi-Square Test
Traditional Technique to Solve a Chi-Square
Table Technique to Solve a Chi-Square
Is the Chi-Square Significant?
Effect Size for the Two-Way Chi-Square

Chapter 12. Correlation
What Is a Correlation?
Visualizing Correlations
Interpretation of a Correlation
How to Calculate a Pearson’s Correlation Coefficient
Example Problem for a Correlation
Is the Correlation Significant?
Partial Correlation
Example of a Partial Correlation
Is the Partial Correlation Significant?

Chapter 13. Simple Linear Regression Analysis
What Is a Simple Linear Regression?
Visualizing a Regression
Simple Linear Regression Calculation
Calculating a Simple Linear Regression from Scratch

Appendix A – Math Touchup

Appendix B – List of Formulas

Appendix C – The Percentage of the Area Under the Normal Curve

Appendix D – Critical Values of t

Appendix E – Critical Values of F

Appendix F – q (The Studentized Range Statistic at .05 and .01 (α ) Levels of Significance )

Appendix G – Critical Values of Chi-Square (χ2 )

Appendix H – Critical Values for Pearson’s Correlation (r )

References

Matthew D. Moore
Mark Heirigs

Chapter 1. The Basics
I Hate Math
How to Combat the I Hate Math Idea
Numbers, Numbers, Numbers

Chapter 2. The Research Process, Methods, and Data
Research
Methods
Hypothesis
Data

Chapter 3. Frequencies, Proportions, Percentages, Ratios, Rates, and Cross-Tabulation
Frequency Distributions
Proportions and Percentages
Ratios
Rates
Rate of Change
Cross-Tabulations

Chapter 4. Central Tendency
What is Central Tendency?
Mode
Median
Mean
Choosing the Mode, Median, or Mean
Weighted Mean

Chapter 5. Measures of Variability
What is Variability?
Range
Interquartile Range
Deviation
Variance
Standard Deviation
A Note on Samples and Populations
Index of Qualitative Variation

Chapter 6. Probability
What is a Probability?
Calculating a Probability
Converse Rule
Multiplication Rule
Probability Distribution

Chapter 7. Samples and Populations
Samples versus Populations
Sampling Error
Symbols, Symbols, Symbols
Sampling Distribution of the Mean
Standard Error of the Mean
Confidence Intervals
Confidence Intervals with Proportions

Chapter 8. The Normal Curve
What is Normal Curve?
Appendix C Practice
Z-Scores

Chapter 9. The t-Tests
The t-Test
The t-Test for Independent Samples
Null and Research Hypotheses
Visualizing the t-Test
Type I and Type II Errors
Critical and Calculated Values
One-Tailed t-Test
One-Tailed t-Test Calculated
Two-Tailed t-Test Calculated
Effect Size
Proportions and t-Tests

Chapter 10. Analysis of Variance (ANOVA )
What Is the Difference Between a t-Test and ANOVA?
How to Calculate an ANOVA
Example Problem for ANOVA
Is the F Calculated Significant?
Post Hoc Analyses

Chapter 11. The Chi-Square (Nonparametric Statistics )
Chi-Square Tests
One-Way Chi-Square Test
Traditional Technique to Solve a Chi-Square
Table Technique to Solve a Chi-Square
Is the Chi-Square Significant?
The Two-Way Chi-Square Test
Traditional Technique to Solve a Chi-Square
Table Technique to Solve a Chi-Square
Is the Chi-Square Significant?
Effect Size for the Two-Way Chi-Square

Chapter 12. Correlation
What Is a Correlation?
Visualizing Correlations
Interpretation of a Correlation
How to Calculate a Pearson’s Correlation Coefficient
Example Problem for a Correlation
Is the Correlation Significant?
Partial Correlation
Example of a Partial Correlation
Is the Partial Correlation Significant?

Chapter 13. Simple Linear Regression Analysis
What Is a Simple Linear Regression?
Visualizing a Regression
Simple Linear Regression Calculation
Calculating a Simple Linear Regression from Scratch

Appendix A – Math Touchup

Appendix B – List of Formulas

Appendix C – The Percentage of the Area Under the Normal Curve

Appendix D – Critical Values of t

Appendix E – Critical Values of F

Appendix F – q (The Studentized Range Statistic at .05 and .01 (α ) Levels of Significance )

Appendix G – Critical Values of Chi-Square (χ2 )

Appendix H – Critical Values for Pearson’s Correlation (r )

References

Matthew D. Moore
Mark Heirigs