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Copyright © 2013 Pearson Education. All rights reserved.
Chapter 4
Sampling Distributions and Data Descriptions
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Section 4.1
Random Sampling
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Definition 4.1
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Definition 4.2
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Definition 4.3
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Section 4.2
Some Important Statistics
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Definition 4.4
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Theorem 4.1
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Section 4.3
Sampling Distributions
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Definition 4.5
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Section 4.4
Sampling Distribution of Means and the Central Limit Theorem
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Theorem 4.2
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Figure 4.1 Illustration of the Central Limit Theorem (distribution of X for n = 1, moderate n, and large n)
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Figure 4.2 Area for Example 4.4
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Figure 4.3 Area for Case Study 4.1
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Figure 4.4 Area for Example 4.5
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Theorem 4.3
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Figure 4.5 Area for Case Study 4.2
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Section 4.5
Sampling Distribution of S2
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Theorem 4.4
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Figure 4.6 The chi-squared distribution
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Section 4.6
t-Distribution
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Theorem 4.5
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Corollary 4.1
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Figure 4.7 The t-distribution curves for v = 2, 5, and
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Figure 4.8 Symmetry property (about 0) of the t-distribution
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Figure 4.9 The t-values for Example 4.9
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Section 4.7
F-Distribution
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Theorem 4.6
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Figure 4.10 Typical F-distributions
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Figure 4.11 Illustration of the f for the F-distribution
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Theorem 4.7
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Theorem 4.8
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Section 4.8
Graphical Presentation
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Table 4.1 Tensile strength
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Figure 4.12 Scatter plot of tensile strength and cotton percentages
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Table 4.2 Car Battery Life
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Table 4.3 Stem-and-Leaf Plot of Battery Life
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Table 4.4 Double-Stem-and-Leaf Plot of Battery Life
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Table 4.5 Relative Frequency Distribution of Battery Life
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Figure 4.13 Relative frequency histogram
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Figure 4.14 Estimating frequency distribution
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Figure 4.15 Skewness of data
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Table 4.6 Nicotine Data for Example 4.12
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Figure 4.16 Box-and-whisker plot for Example 4.12
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Figure 4.17 Stem-and-Leaf plot for the nicotine data
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Section 4.9
Potential Misconceptions and Hazards; Relationship to Material in Other Chapters
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