1. Chapter 10 Inferences for Two Population Means
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2. Section 10.1
The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
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3. Figure 10.1
Process for comparing two population means, using independent samples
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4. Section 10.2
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
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5. Procedure 10.1
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6. Procedure 10.1 (cont.)
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7. Procedure 10.2 Update Procedure 10.2 from page 497
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8. Section 10.3
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
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9. Procedure 10.3 Delete slide and insert Procedure 10.3 from page 506
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10. Procedure 10.3 (cont.)
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11. Procedure 10.4 Delete Slide and insert procedure 10.4 from page 509
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12. Section 10.4 The Mann-Whitney Test
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13. Figure 10.9
Appropriate procedure for comparing two population means based on independent simple random samples
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14. Table 10.9 & 10.10 Times, in minutes, required
to learn how to use the system
Results of ranking the combined data from Table 10.9
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15. Procedure 10.5 Delete slide and insert procedure 10.5 from page 522
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16. Procedure 10.5 (cont.)
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17. Section 10.5 Inferences for Two Population Means, Using Paired Samples
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18. Table 10.13 Ages, in years, of a random sample of 10 married couples
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19. Procedure 10.6 Delete slide and insert procedure 10.6 from page 534
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20. Procedure 10.6 (cont.)
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21. Procedure 10.7 Update slide with procedure 10.7 from page 538
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22. Section 10.6 The Paired Wilcoxon Signed-Rank Test
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23. Procedure 10.8 Delete Slide and insert procedure 10.8 from page 547
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24. Procedure 10.8 (cont.)
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25. Section 10.7 Which Procedure Should Be Used?
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26. Table 10.15
Summary of hypothesis-testing procedures for comparing two population means. The null hypothesis for all tests is
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27. Figure 10.19
Flowchart for choosing the correct hypothesis-testing procedure for comparing two population means
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28. Figure 10.20
Normal probability plots of the sample data for (a) elite runners and (b) others
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29. Figure 10.21 Boxplots of the sample data for elite runners and others
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