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Probability statistics for engineers and scientists 9th by walpole myers chapter 06

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Copyright © 2010 Pearson Addison-Wesley.. Copyright © 2010 Pearson Addison-Wesley.. All rights reserved.Section 6.1 Continuous Uniform Distribution... Copyright © 2010 Pearson Addison-

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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(x 1 < X < x 2 ) = area of

the shaded region

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Figure 6.7 P(x 1 < X < x 2 ) 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

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

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