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- Gebundenes Buch
Making Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.
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Making Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- 8 ed
- Seitenzahl: 270
- Erscheinungstermin: 13. Juni 2023
- Englisch
- Abmessung: 282mm x 213mm x 21mm
- Gewicht: 850g
- ISBN-13: 9781032289625
- ISBN-10: 1032289627
- Artikelnr.: 67402196
- Verlag: Taylor & Francis Ltd
- 8 ed
- Seitenzahl: 270
- Erscheinungstermin: 13. Juni 2023
- Englisch
- Abmessung: 282mm x 213mm x 21mm
- Gewicht: 850g
- ISBN-13: 9781032289625
- ISBN-10: 1032289627
- Artikelnr.: 67402196
Deborah Mikyo Oh has been Professor in Research Methods and Statistics at California State University, Los Angeles, USA, since 1998. She earned her PhD from Columbia University, New York, USA, and teaches statistics to a diverse student population at undergraduate, graduate, and doctoral levels.
Introduction: What is Research?; Part A: The Research Context 1. The
Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of
Measurement 4. Descriptive, Correlational, and Inferential Statistics;
Part B: Sampling 5. Introduction to Sampling 6. Variations on Random
Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit
Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and
Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean,
Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation
15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r
18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation;
Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22.
Decisions About the Null Hypothesis 23. Limits of Significance Testing and
Practical Implications; Part F: Means Comparison 24. Introduction to the t
Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One
Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29.
One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31.
Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions;
Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and
Linear Regression Appendix C. Table of Random Numbers
Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of
Measurement 4. Descriptive, Correlational, and Inferential Statistics;
Part B: Sampling 5. Introduction to Sampling 6. Variations on Random
Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit
Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and
Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean,
Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation
15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r
18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation;
Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22.
Decisions About the Null Hypothesis 23. Limits of Significance Testing and
Practical Implications; Part F: Means Comparison 24. Introduction to the t
Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One
Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29.
One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31.
Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions;
Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and
Linear Regression Appendix C. Table of Random Numbers
Introduction: What is Research?; Part A: The Research Context 1. The
Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of
Measurement 4. Descriptive, Correlational, and Inferential Statistics;
Part B: Sampling 5. Introduction to Sampling 6. Variations on Random
Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit
Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and
Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean,
Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation
15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r
18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation;
Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22.
Decisions About the Null Hypothesis 23. Limits of Significance Testing and
Practical Implications; Part F: Means Comparison 24. Introduction to the t
Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One
Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29.
One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31.
Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions;
Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and
Linear Regression Appendix C. Table of Random Numbers
Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of
Measurement 4. Descriptive, Correlational, and Inferential Statistics;
Part B: Sampling 5. Introduction to Sampling 6. Variations on Random
Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit
Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and
Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean,
Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation
15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r
18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation;
Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22.
Decisions About the Null Hypothesis 23. Limits of Significance Testing and
Practical Implications; Part F: Means Comparison 24. Introduction to the t
Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One
Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29.
One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31.
Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions;
Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and
Linear Regression Appendix C. Table of Random Numbers