Business Experiments with R. B. D. McCullough
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rel="nofollow" href="#ulink_3b983800-d3e6-59ff-9752-974eb15add60">7.3 The Determinant of a Matrix 7.4 Aliasing 7.5 Blocking (Again) 7.6 Mee's Blunders 7.7 Chapter Exercises 7.8 Learning More 7.9 Appendix on aliasMatrix and colorMap
16 8 Two‐Level Screening Designs 8.1 Preliminaries 8.2 Case: Puncture Resistance (Small Screening Experiment) 8.3 Case: College Giving (Big Screening Experiment) 8.4 How to Set Up a Screening Experiment 8.5 Creating a Screening Design 8.6 Chapter Exercises 8.7 Learning More
17 9 Custom Design of Experiments 9.1 Case: Selling Used Cars at Auction I (Small Custom Screening) 9.2 Case: Selling Used Cars at Auction II (Custom Experiment) 9.3 Custom Experiment with Blocking 9.4 Custom Screening Experiments 9.5 More Than Two Levels 9.6 Chapter Exercises 9.7 Learning More
18 10 Epilogue 10.1 The Sequential Nature of Experimentation 10.2 Approaches to Sequential Experimentation
19 References
20 Index
List of Tables
1 Chapter 1Table 1.1 Credit default rates for men and women.Table 1.2 Credit default rates by marital status.Table 1.3 Results of first Salk vaccine field trial.Table 1.4 Results of second Salk vaccine field trial.Table 1.5 Factors and levels for financial services example.Table 1.6 Summary of web test results.
2 Chapter 2Table 2.1 Data from sales calls test.Table 2.2 Summary statistics for audio and video sales calls.Table 2.3 Errors in hypothesis tests.Table 2.4 Data from email response test.Table 2.5 Confidence intervals for the difference in response rate between em...Table 2.6 Power for two‐sample comparison of proportions,
3 Chapter 4Table 4.1 Summary statistics on sales for subgroup data, zeros excluded..Table 4.2 Contingency table for aggregate A/B test.Table 4.3 Contingency table for subgroup “loan = yes” A/B test.Table 4.4 Contingency table for subgroup “amount
4 Chapter 5Table 5.1 One‐way ANOVA on call center scripts.Table 5.2 Crosstab of counts for scripts A, B, C, and D and agents 1, 2, 3, 4...Table 5.3 One‐way ANOVA with blocking on call center data.Table 5.4 Tukey HSD intervals for call center data with blocking.Table 5.5 Initial experimental design for DigiPuppets.Table 5.6 Latin square design for DigiPuppets.Table 5.7 ANOVA on Latin square for DigiPuppets.Table 5.8 Standard form for Latin square design.Table 5.9 Another orthogonal Latin square design.Table 5.10 A bad choice for a Latin square design.Table 5.11 Randomizing a Latin square design: assign random numbers to rows a...Table 5.12 Data for new product example.Table 5.13 Latin square for background music exposure.Table 5.14 ANOVA results for distance1 (left) and distance2 (right).Table 5.15 ANOVA on combined distances.Table 5.16 Control and treatment means for various sample sizes.
5 Chapter 6Table 6.1 ANOVA table for car rental data.Table 6.2 Regression results on car rental data.Table 6.3 Simple experiment.Table 6.4 Numeric data for Table 6.3.Table 6.5 Regression results for simple experiment with dummy variables.Table 6.6 Regression results for simple experiment with effect‐coded variable...Table 6.7
6 Chapter 7Table 7.1 Postcard data.Table 7.2 Full factorial regression coefficients for postcard experiment.Table 7.3 Postcard regression, reduced model.Table 7.4 Choosing
