Quality Engineering Statistics

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ASQ Quality Press, Jan 1, 1992 - Technology & Engineering - 111 pages
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This book is a compendium of many of the statistical tools and tests used by quality and engineering professionals. it is a practical handbook that lists significant statistical methods, outlines assumptions for testing, and provides formulas and completed examples. the book is ideal for engineers who know what type of test to perform but need an easy-to-use reference to help complete the task. Readers should have an understanding of basic statistics. a bibliography contains references to texts that can provide the necessary theory and mathematical foundations.
 

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Contents

72 Poisson Distribution
53
73 Hypergeometric Distribution
55
74 Geometric Distribution
56
75 Uniform Distribution
57
76 Negative Binomial Distribution
58
GoodnessofFit Tests
61
82 Test of Normality Using Skewness and Kurtosis
63
Sample Size Determination for Tests of Hypotheses
67

26 Confidence Interval for Poisson Distributed Data
14
Testing for Differences in Means
17
32 OneSided Test 𝜎 Known
18
33 Testing a Sample Mean Versus a Hypothesized Mean When 𝜎 Is Estimated From the Sample Data One Sample t Test
19
34 Testing for a Difference in Two Population Means Standard Deviations Known Two Sample Z Test
20
35 Testing for a Difference in Two Population Means Standard Deviations Not Known But Assumed Equal Two Sample t Test
21
36 Testing for a Difference in Two population Means Standard Deviations Not Known and Not Assumed Equal AspinWelch Test
22
37 Testing for Differences in Means of Paired Samples Paired Sample t Test
23
38 Testing for a Difference in Two Proportions
25
39 Testing for Difference in Count Data
26
310 Hypothesis Testing for Differences in Means Confidence Interval Approach
27
Testing for Differences in Variances
31
42 Testing an Observed Variance to a Hypothesized Variance Large Samples
32
43 Testing for a Difference in Two Observed Variances Using Sample Data F Test
33
44 Testing for a Difference in Two Observed Variances Using Large Samples
34
45 Testing for Differences in Several Observed Variances Bartletts Test
35
Decision Errors and Risks in Hypothesis Testing
39
52 Alpha 𝛼 and Beta 𝛽 Risks
40
Continuous Probability Distributions
43
62 Predictions Using the Normal Distribution
44
63 Central Limit Theorem
45
65 Lognormal Distribution
49
Discrete Probability Distributions
51
91 Sample Size Required to Test an Observed Mean Versus a Hypothesized Mean When 𝜎 Is Known One Sample Z Test
68
92 Sample Size Required to Test an Observed Mean Versus a Hypothesized Mean When 𝜎 Is Estimated From Observed Values One Sample t Test
69
93 Sample Size Required to Test for Differences in Two Observed Means When Each Population Is Known Two Sample Z Test
70
94 Sample Size Required to Test for Differences in Two Observed Means When 𝜎 Is Estimated From the Observed Data Two Sample t Tests
71
96 Sample Size Required for ChiSquare Test of Observed Variance to a Hypothesized Variance
73
97 Sample Size Required for F Test of Two Observed Variances
74
Analysis of Variance
77
102 OneWay ANOVA Fixed Effects Model
78
103 TwoWay ANOVA Fixed Effects Model Single Replicate
80
104 TwoWay ANOVA Fixed Effects Model With Replication
84
105 Random effects Model
88
Tables
91
Normal Distribution
92
t Distribution
95
ChiSquare
96
F Distribution 𝛼 005
97
F Distribution 𝛼 001
99
Median Rank Values
101
Gamma Function
104
Bibliography
107
Index
109
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