Mistakes in Quality Statistics : And How to Fix Them

Mistakes in Mistakes in About the Author List of Figures and Tables Preface Table of Contents Example 1.1 Example 1.1 Example 1.2 Example 1.2 1.1 HYPOTHESIS TEST FOR TWO 1.1HYPTHEITETFRTW POPULATION MEANS Significance Levels Significance Levels Example 1.3 Example 1.3 1.2 HYPOTHECS TEST FOR A POPULATION PROPORTION 1.2 HYPOTHESIS TEST FOR A POPULATION PROPORTION Example 1.4 Example 1.4 STANDARD DEVIATION 1.3 HYPOTHESIS TEST FOR POPULATION STANDARD DEVIATION Significance versus Importance 2 Example 2.1 Example 2. 1 Example 2. 2 Example 2.2 Example 2.3 Example 2.4 Example 2.4 2.1 LURKING VARIABLE 2.2 CORRELATION OR CAUSATION? Example 2.5 Example 2.5 Example 2.6 Example 2.6 Example 2.7 Example 2.7 2.3 CORRELATION AND PREDICTION O th Liht Sid On the Lighter Side INTERVALS FOR POPULATION MEANS 3.1 MARGIN OF ERROR AND CONFIDENCE INTERVALS FOR POPULATION MEANS Cfid d P bbilit Confidence and Probability Example 3.1 Example 3. 1 Example 3. 2 Example 3.2 Example 3.3 Example 3.3 3.2 HYPOTHESIS TEST lORTWO POPULATION MEANS 3.2 HYPOTHESIS TEST FOR TWO POPULATION MEANS INTERVALS FOR PROPORTIONS INTERVALS FOR PROPORTIONS Example 3.4 Example 3.4 Some Concerns When UssngVoyceoEthe Customer (VOC) Surveys Some Suggestionson the Use ova Percentages S Sti th U f P t Some Suggestions on the Use of Percentages 4 Example 4.1 Example 4.1 Example 4.2 Example 4.2 Example 4.3 Example 4.3 Example 4.4 Example 4.4 Example 4.5 Example 4.5 Example 4.6 Example 4.7 El 47 Example 4.7 Example 4.9 Example 4.10 Example 4.10 WITH A NORMAL POPULATION 4.2 CALCULATIONS FOR A PROCESS WITH A NORMAL POPULATION Summary 5.1 MEASUREMENT SYSTEM VARIATION 5.2 EVALUATING AM EASURING SYSTPM FOR CONTINUOUS DATA 5.2 EVALUATING A MEASURING SYSTEM FOR CONTINUOUS DATA Example 5.1 SYSTEM ANALYSIS 5.5 STABILITY Example 5.2 Example 5.2 5.6 MEASUREMENT SYSTEMS AND CAPABILITY ANALYSIS 5.6 MEASUREMENT SYSTEMS AND CAPABILITY ANALYSIS Example 6.1 Example 6.1 6.1 MAIN EFFECTS 6.3 FRACTIONAL FACTORIAL DESIGNS Example 7.1 Example 7. 1 Example 7. 2 Example 7.2 7.2 DOUBLE SAMPLING PLANS 7.3 EVALUATING SAMPLING PLANS 7.4 VARIABLES SAMPLING PLANS Example 7.3 Example 7.3 O Example 8. 1 Example 8.1 Example 8. 2 (continuation of Example 8.1) Example 8.2 (continuation of Example 8.1) Example 8.3 Example 8.3 8.1 SUMMARY OF RULES 8.1 SUMMARY OF RULES Example 9. 1 Example 9. 2 Example 9.2 Example 9.3 Example 9.3 Example 9.4 Example 9.4 Example 9.5 Example 9.5 Example 9.6 Appendix CHAPTER 1 CHAPTER 2 CHAPTER CHAPTER 3 Excel Function TINV Excel Function TINV Notes Further Study Recommended Reading Throughout Don Benbow's extensive career, teaching mathematics and statistical courses to college students and corporate employees, one common question always popped up: How do you fix statistical errors in quality? Most textbooks and courses tend to emphasize how to perform statistical analysis and give little attention to errors that can occur in the process. This book intends to teach readers how to avoid common pitfalls by providing examples and scenarios based on similar real-world events. The book also provides "caveats" (or quick tips) to help readers navigate their way through statistical methodology. -- Cover page 4