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9780873894722

The Desk Reference of Statistical Quality Methods

by
  • ISBN13:

    9780873894722

  • ISBN10:

    0873894723

  • Format: Hardcover
  • Copyright: 2000-01-01
  • Publisher: Asq Pr
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Summary

This reference guide illustrates how to execute forty essential statistical improvement methods frequently used in the quality sciences, such as acceptance sampling for attributes, discrete distributions, multivariate charts, and Weibull analysis. Arranged alphabetically, each entry provides computational steps, application comments, and a brief presentation on how to use the tool or technique. An appendix contains distribution and value tables.

Author Biography

Mark L. Crossley holds a BS in Chemistry and Mathematics from the University of North Carolina and a MS in Quality Assurance from California State University. He is the president of Quality Management Associates, Inc., a consulting firm in Salisbury, North Carolina, specializing in the use of statistical methods for quality improvement, and he is a nationally recognized instructor for the American Society for Quality.

Table of Contents

Acceptance Control Chart
1(7)
Modified Control Limits
1(3)
Acceptance Control Charts
4(1)
Bibliography
5(2)
Acceptance Sampling for Attributes
7(18)
Operating Characteristic (OC) Curve
8(3)
MIL-STD-105E (ANSI/ASZC Z1.4)
11(1)
Format for Use and Discussion
12(3)
Continuous Sampling Plans (CSPs)
15(1)
CSP-1 Plan
16(5)
CSP-2 Plan
21(3)
A Method for Selecting the AQL
24(1)
Bibliography
24(1)
Acceptance Sampling for Variables
25(8)
Sampling Plans Based on Specified AQL, RQL, α Risk, and β Risk
27(2)
Sampling Plans Based on Range R
29(2)
Bibliography
31(2)
Average/Range Control Chart
33(8)
Bibliography
40(1)
Average/Standard Deviation Control Chart
41(6)
Bibliography
45(2)
Chart Resolution
47(12)
Variable Control Charts: Individuals
47(4)
Variables Control Charts: Averages
51(2)
Attribute Chart: P Charts
53(1)
For P ≤ 0.10, Poisson Distribution
54(1)
For P ≥ 0.10, Normal Distribution
55(2)
Bibliography
57(2)
Chi-Square Contingency and Goodness-of-Fit
59(8)
Chi-Square Contigency Tables
59(3)
Goodness-of-Fit
62(1)
Goodness-of-Fit to Poisson Distribution
62(3)
Goodness-of-Fit to Uniform Distribution
65(1)
Goodness-of-Fit to Specified Distribution
65(1)
Bibliography
66(1)
Chi-Square Control Chart
67(8)
Bibliography
74(1)
Confidence Interval for the Average
75(6)
Confidence Interval, n ≤ 30
76(1)
Confidence Interval, n > 30
77(1)
Confidence Limit, n > 30, Single-Sided Limit
78(1)
Confidence Limit, n ≤ 30, Single-Sided Limit
79(1)
Bibliography
80(1)
Confidence Interval for Proportions
81(10)
Bibliography
89(2)
Confidence Interval for Standard Deviation
91(4)
Testing Homogeneity of Variances
93(1)
Bibliography
94(1)
Defects/Unit Control Charts
95(8)
Case Study
97(5)
Bibliography
102(1)
Demerit/Unit Chart
103(8)
Bibliography
110(1)
Descriptive Statistics
111(6)
Bibliography
115(2)
Designed Experiments
117(38)
Normal Probability Plot
124(2)
Visualization of Two-Factor Interactions
126(5)
Fractional Factorial Experiments
131(10)
Calculation of Main Effects
135(2)
Two-Factor Interactions
137(3)
Statistical Significance Based on t Test
140(1)
Variation Reduction
141(3)
Response Modeling
144(3)
An Alternative Method for Evaluating Effects Based on Standard Deviation
147(2)
Plackett-Burman Screening Designs
149(5)
Achieving tghe Final Objective
154(1)
Bibliography
154(1)
Discrete Distributions
155(10)
Hypergeometric Distribution
155(1)
Binomial Distribution
156(2)
Poisson Distribution
158(2)
The Normal Distribution as an Approximation of the Binomial
160(2)
Pascal Distribution
162(1)
Cumulative Distribution Tables
163(1)
Bibliography
164(1)
Evolutionary Operation, EVOP
165(8)
Bibliography
171(2)
Exponentially Weighted Moving Average, EWMA
173(8)
Bibliography
179(2)
F-Test
181(4)
Single-Sided vs. Double-Sided Tests
182(3)
Histograms
185(6)
Example of a Frequency Histogram
185(5)
Bibliography
190(1)
Hypothesis Testing
191(16)
Formulation of the Hypothesis
191(1)
Conclusions and Consequences for a Hypothesis Test
192(1)
Selecting a Test Statistic and Rejection Criteria
193(13)
Hypothesis about the Variance
205(1)
Bibliography
206(1)
Individual-Median/Range Chart
207(8)
Bibliography
214(1)
Individual/Moving Range Chart
215(8)
Bibliography
221(2)
Measurement Error Assessment
223(14)
Variables Measurements Error
223(11)
Terms and Concepts
223(5)
Combined (Gage) Repeatability and Reproducibility Error (GR & R)
228(1)
Consequences of Measurement Error
228(1)
Confidence Interval for Repeatability, Reproducibility and Combined R&R
229(1)
Confidence Interval for Repeatability, EV
230(2)
Confidence Interval for Reproducibility, AV
232(1)
Confidence Interval for Combined Repeatability and Reproducibility, R&R
233(1)
Attribute and Visual Inspection Error
234(2)
Bibliography
236(1)
Multivariate Charts
237(18)
T2 Charts
237(11)
The T2 Equation
240(1)
Calculation of Individual and Average Covariance
241(1)
Calculation of Individual T2 Values
242(2)
Calculation of the Control Limits
244(4)
Standardized Euclidean Distance, DE
248(6)
Plotting Statistic
248(1)
Control Limits and Center Line
249(5)
Bibliography
254(1)
Nonnormal Distribution Cpk
255(14)
Cpk Adjusted for SK and KU Using Normal Probability Plots
266(1)
Bibliography
267(2)
Nonparametric Statistics
269(6)
Comparing Two Averages: Wilcoxon-Mann-Whitney Test
269(3)
Comparing More Than Two Averages: The Kruskall-Wallis Rank Sum Test
272(1)
Bibliography
273(2)
Normal Distribution
275(8)
Central Limit Theorem
280(3)
Pareto Analysis
283(6)
Bibliography
287(2)
Pre-Control
289(6)
Description
289(2)
A Comparison of Pre-Control and SPC
291(3)
Bibliography
294(1)
Process Capability Indices
295(12)
Cpk
295(2)
Confidence Interval for Cpk
297(3)
Cr and Cp Indices
300(1)
Confidence INterval for Cp and Cr
301(1)
Cpm Index
302(5)
Bibliography
306(1)
p Chart
307(18)
Exponential Model
318(3)
Data Transformation
321(2)
Bibliography
323(2)
Regression and Correlation
325(8)
Linear Least Square Fit
325(1)
Confidence for the Estimated Expected Value
326(1)
Assessing the Model: Drawing Inferences about β1
327(4)
Testing β1
328(1)
Measuring the Strength of the Linear Relationship
329(1)
Testing the Coefficient of Correlation
329(2)
Bibliography
331(2)
Reliability
333(18)
Exponential Distribution
337(12)
Determination of Failure Rate, λ
337(3)
Confidence Internal for λ from Time-Censored (Type I) Data
340(1)
Confidence Interval for λ from Failure-Censored (Type II) Data
341(2)
Success Run Theorum
343(1)
Reliability Modeling
344(1)
Series Systems
344(1)
Parallel Systems
345(1)
Complex Systems
346(1)
Shared-Load Parallel Systems
347(1)
Standby Parallel Systems
348(1)
Bibliography
349(2)
Sequential Simplex Optimization
351(10)
Theoretical Optimum
351(1)
Strategies for Optimization
351(9)
Shotgun Approach
352(1)
Approach of a Single Factor at a Time
352(1)
Basic Simplex Algorithm
353(1)
Simplex Calculations
354(6)
Bibliography
360(1)
Short-Run Attribute Charts
361(8)
Short-Run p Chart
366(2)
Bibliography
368(1)
Short-Run Average/Range Chart
369(12)
For the Short-Run Average Chart
369(1)
For the Short-Run Range Chart
370(1)
For X
371(1)
For R
372(8)
Bibliography
380(1)
Short-Run Individual/Moving Range Chart
381(10)
Derivation of the Plotting Characteristic for the Location Statistic
381(1)
Derivation of the Plotting Characteristic for the Variation Statistic
381(2)
Selecting a Value for XT and MRT
383(6)
Bibliography
389(2)
SPC Chart Interpretation
391(6)
Bibliography
396(1)
Taguchi Loss Function
397(6)
Losses with Nonsymmetric Specifications
401(1)
Bibliography
402(1)
Testing for a Normal Distribution
403(14)
Normal Probability Plot
403(8)
Normal Probability Plots Using Transformed Data
409(2)
Chi-Square Goodness-of-Fit Test
411(2)
Skewness and Kurtosis
413(3)
Bibliography
416(1)
Weibull Analysis
417(8)
Probability Plotting
418(3)
Plotting Data Using Weibull Paper
421(3)
Estimation of Minimum Life Characteristic
423(1)
Bibliography
424(1)
Zone Charts
425(10)
Construction of Zone Charts
426(7)
Collect Historical Data
428(5)
Bibliography
433(2)
Appendix A: Tables 435(10)
Standard Normal Distribution
435(1)
Poisson Unity Values, Pa
436(1)
Poisson Unity Values, RQL/AQL
437(1)
t-Distribution
438(1)
Chi-Square Distribution
439(1)
Control Chart Factors I
440(1)
Control Chart Factors II
440(1)
Critical Values of Smaller Rank Sum for Wilcoxon-Mann-Whitney Test
441(1)
Values of i and f for CSP-1 Plans
442(1)
Cumulative Poisson Distribution
443(2)
F-table
445

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