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Chapter 5 One- and Two-Sample Estimation Problems
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Section 5.1 Introduction
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Section 5.2 Statistical Inference
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Section 5.3 Classical Methods of Estimation
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Definition 5.1 Copyright © 2013 Pearson Education. All rights reserved.
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Definition 5.2 Copyright © 2013 Pearson Education. All rights reserved.
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Figure 5.1 Sampling distributions of different estimators of q
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Section 5.4 Single Sample: Estimating the Mean
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Figure 5.2 P(-za/2 < Z < za/2) = 1-a
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Figure 5.3 Interval estimates of m for different samples
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Figure 5.4 Error in estimating m by x
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Theorem 5.1 Copyright © 2013 Pearson Education. All rights reserved.
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Theorem 5.2 Copyright © 2013 Pearson Education. All rights reserved.
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Figure 5.5 P(-ta /2 < T < ta /2) = 1-a
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Section 5.5 Standard Error of a Point Estimate
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Section 5.6 Prediction Intervals
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Section 5.7 Tolerance Limits
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Section 5.8 Two Samples: Estimating the Difference between Two Means
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Section 5.9 Paired Observations
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Table 5.1 Data for Example 5.13 Copyright © 2013 Pearson Education. All rights reserved.
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Section 5.10 Single Sample: Estimating a Proportion
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Theorem 5.3 Copyright © 2013 Pearson Education. All rights reserved.
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Theorem 5.4 Copyright © 2013 Pearson Education. All rights reserved.
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Theorem 5.5 Copyright © 2013 Pearson Education. All rights reserved.
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Section 5.11 Two Samples: Estimating the Difference between Two Proportions
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Section 5.12 Single Sample: Estimating the Variance
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Figure 5.6 Copyright © 2013 Pearson Education. All rights reserved.
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Section 5.13 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters
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