for μ = 20, 22, 24, ...Table 8.7 (μ = 20) Values ofCp, Cpk, Cpm, Cpmk, and Cpnst for σ = 2, 2.5, 3.0...Table 8.8 Pre‐control rules.Table 8.9 Data for an experiment involving three operators, 10 parts (con rod...Table 8.10 Two‐way ANOVA table with interaction.Table 8.11 Gauge R&R variance components.Table 8.12 Gauge evaluation.Table 8.13 Measurement data for Problem 8.34.Table 8.14 Measurement data for Problem 8.36.Table 8.15 Measurement data for Problem 8.37.8 Chapter 9Table 9.1a Probability of acceptance with various fraction of lot defective.Table 9.1b Acceptance probabilities and AOQ% vs. lot percent defective.Table 9.2
9 Appendix ATable A.1 Random numbers.Table A.2 Factors helpful in constructing control charts for variables.Table A.3 Values of K1 for computing repeatability using the range method.Table A.4 Values of K2 for computing reproducibility using the range method.Table A.5 Binomial probabilities
List of Illustrations
1 Chapter 1Figure 1.1 Flow chart of a process.Figure 1.2 A chain reaction chart used by the Japanese companies in their to...Figure 1.3 Detecting practical and statistical differences.
2 Chapter 2Figure 2.1 Six Sigma project selection.Figure 2.2 Flow chart of a process.Figure 2.3 The DMAIC cycle.Figure 2.4 The standard normal distribution curve.Figure 2.5 For a normally distributed characteristic, centered at specificat...Figure 2.6 Applying the 1.5σ shift to a centered 6σ process.
3 Chapter 3Figure 3.1 Classifications of statistical data.Figure 3.2 Dot plot for the data on defective parts received in 24 shipments...Figure 3.3 Pie chart for defects associated with manufacturing process steps...Figure 3.4 Bar chart for the data in Example 3.6.Figure 3.5 Bar chart for the data in Example 3.7.Figure 3.6 Bar chart for the data in Example 3.8.Figure 3.7 Frequency histogram for the data in Example 3.9.Figure 3.8 Line graph for the data on flu vaccines given in Example 3.10.Figure 3.9 Minitab scatterplots showing four different degrees of correlatio...Figure 3.10 Two frequency distribution curves with equal mean, median, and m...Figure 3.11 Illustration of the empirical rule.Figure 3.12 Amount of soft drink contained in a bottle.Figure 3.13 Dollar value of units of bad production.Figure 3.14 Box-and-whisker plot.Figure 3.15 Box plot for the data in Example 3.25.Figure 3.16 The normal density function curve with μ = 0 and σ = 1.Figure 3.17 Curves representing the normal density function with different m...Figure 3.18 Curves representing the normal density function with different s...Figure 3.19 The standard normal density function curve.Figure 3.20 Probability (a ≤ Z ≤ b) under the standard normal curve.Figure 3.21 Shaded area equal to P(1 ≤ Z ≤ 2)Figure 3.22 Two shaded areas showing P(–1.50 ≤ Z ≤ 0) = P(0 ≤ Z ≤ 1.50).Figure 3.23 Two shaded areas showing P(–2.2 ≤ Z ≤ –1.0) = P(1.0 ≤ Z ≤ 2.2.Figure 3.24 Minitab normal probability plot for the data in Example 3.35.
4 Chapter 5Figure 5.1 Pareto chart for the data in Example 5.1.Figure 5.2 Pareto chart when weighted frequencies are used.Figure 5.3 An initial form of a cause‐and‐effect diagram.Figure 5.4 A complete cause‐and‐effect diagram.Figure 5.5 A damaged item shaped like a rectangular prism.Figure 5.6 Run chart.Figure 5.7 A pictorial representation of a Shewhart control chart with UCL a...Figure 5.8 OC curves for an
5 Chapter 6Figure 6.1 Minitab printout of the p control chart for the data on nonconfor...Figure 6.2 p chart for nonconforming APLs with variable sample sizes.Figure 6.3 np control chart for the data on nonconforming APLs in Table 6.2....Figure 6.4 C control chart of nonconformities for the data in Table 6.4.Figure 6.5 u control chart of nonconformities for the data in Table 6.5.Figure 6.6 u control chart for the data on nonconformities in circuit boards...
6 Chapter 7Figure 7.1
