1. Sampling Distributions
Chapter 6
Sampling Distributions

2. Table SIA6.1
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3. Definition
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4. Definition
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5. Table 6.1
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6. The Concept of a Sampling Distribution
6.1
The Concept of a Sampling Distribution

7. Figure 6.1 Comparing the sample mean and sample median (M) as estimators of the population mean (m)
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8. Definition
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9. Figure 6.2 Sampling distribution for based on a sample of n = 25 temperature measurements
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10. Figure 6.3 Two sampling distributions for estimating the population variance s2
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11. Table 6.2
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12. Figure 6.4 Uniform distribution for thickness of steel sheets
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13. Table 6.3
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14. Figure 6.5 MINITAB histograms for sample mean and sample median, Example 6.2
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15. 6.2
Properties of Sampling Distributions: Unbiasedness and Minimum Variance

16. Definition
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17. Figure 6.6 Sampling distributions of unbiased and bias estimators
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18. Definition
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19. Figure 6.7 Sampling distributions for two unbiased estimators
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20. The Sampling Distribution of x and the Central Limit Theorem
6.3 _
The Sampling Distribution of x and the Central Limit Theorem

21. Figure 6.8 Sampled uniform population
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22. Figure 6.9 MINITAB histogram for sample mean in 1,000 samples
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23. Definition
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24. Theorem
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25. Theorem
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26. Figure 6.10 Sampling distributions of for different populations and different sample sizes
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27. Figure 6.11 A population relative frequency distribution and the sampling distribution for
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28. Figure 6.12 The sampling distribution for
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29. Figure 6.13 The sampling distribution of in Example 6.8 for n = 50
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30. Figure SIA6.1 SPSS descriptive statistics foe sleep time data
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