copyright © 2010 pearson addison-wesley. all rights reserved. chapter 6 some continuous probability...
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Copyright © 2010 Pearson Addison-Wesley. All rights reserved.
Chapter 6
Some Continuous Probability Distributions
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Section 6.1
Continuous Uniform Distribution
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Figure 6.1 The density function for a random variable on the interval 1,3
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Theorem 6.1
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Section 6.2
Normal Distribution
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Figure 6.2 The normal curve
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Figure 6.3 Normal curves with 1 < 2 and 1 = 2
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Figure 6.4 Normal curves with 1 = 2 and 1 < 2
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Figure 6.5 Normal curves with 1 < 2 and 1 < 2
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Theorem 6.2
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Section 6.3
Areas under the Normal Curve
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Figure 6.6 P(x1 < X < x2) = area of the shaded region
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Figure 6.7 P(x1 < X < x2) for different normal curves
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Definition 6.1
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Figure 6.8 The original and transformed normal distributions
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Figure 6.9 Areas for Example 6.2
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Figure 6.10 Areas for Example 6.3
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Figure 6.11 Area for Example 6.4
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Figure 6.12 Area for Example 6.5
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Figure 6.13 Areas for Example 6.6
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Section 6.4
Applications of the Normal Distribution
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Figure 6.14 Area for Example 6.7
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Figure 6.15 Area for Example 6.8
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Figure 6.16 Area for Example 6.9
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Figure 6.17 Specifications for Example 6.10
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Figure 6.18 Area for Example 6.11
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Figure 6.19 Area for Example 6.12
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Figure 6.20 Area for Example 6.13
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Figure 6.21 Area for Example 6.14
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Section 6.5
Normal Approximation to the Binomial
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Theorem 6.3
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Figure 6.22 Normal approximation of b(x; 15,0.4)
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Figure 6.23 Normal approximation of b(x; 15, 0.4) and b(x; 15, 0.4)
9
x=7
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Figure 6.24 Histogram for b(x; 6, 0.2)
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Figure 6.25 Histogram for b(x; 15, 0.2)
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Table 6.1 Normal Approximation and True Cumulative Binomial Probabilities
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Figure 6.26 Area for Example 6.15
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Figure 6.27 Area for Example 6.15
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Section 6.6
Gamma and Exponential Distributions
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Definition 6.2
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Figure 6.28 Gamma distributions
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Theorem 6.4
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Corollary 6.1
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Section 6.7
Chi-Squared Distributions
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Theorem 6.5
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Section 6.8
Beta Distribution
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Definition 6.3
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Theorem 6.6
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Section 6.9
Lognormal Distribution
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Figure 6.29 Lognormal distributions
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Theorem 6.7
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Section 6.10
Weibull Distribution (Optional)
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Theorem 6.8
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Figure 6.30 Weibull distributions ( = 1)
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Section 6.11
Potential Misconceptions and Hazards; Relationship to Material in Other Chapters