B. McCullough - Business Experiments with R

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A unique text that simplifies experimental business design and is dedicated to the R language  Business Experiments with R The text contains the tools needed to design and analyze two-treatment experiments (i.e., A/B tests) to answer business questions. The author highlights the strategic and technical issues involved in designing experiments that will truly affect organizations. The book then builds on the foundation laid in Part I and expands on multivariable testing. Today’s companies use experiments to solve a broad range of problems, and 
 is an essential resource for any business student. This important text: 
Presents the key ideas that business students need to know about experiments Offers a series of examples, focusing on specific business questions Helps develop the ability to frame ill-defined problems and determine what data and types of analysis provide information about each problem Contains supplementary material, such as data sets available to everyone and an instructor-only companion site featuring lecture slides and an answer key Written for students of general business, marketing, and business analytics, 
 is an important text that helps to answer business questions by highlighting the strategic and technical issues involved in designing experiments that will truly affect organizations.

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.Table 7.9 Standard order for картинка 9design.Table 7.10 Factors for email campaign.Table 7.11 Regression coefficients email campaign.Table 7.12 Contradictory interactions in email campaign.Table 7.13 Email campaign fitted values with design matrix and response.Table 7.14 Design points for a картинка 10experiment.Table 7.15 An aliased design.Table 7.16 картинка 11Design with interactions.Table 7.17 Four runs to estimate main effects of картинка 12design.Table 7.18 Alias matrix for картинка 13design.Table 7.19 A boring alias matrix.Table 7.20 Pizza parlor promotions.Table 7.21 Design for the blocked pizza experiment: standard order.Table 7.22 Design for the blocked pizza experiment: experimental order.Table 7.23 Reduced form of pizza experiment.Table 7.24 Pizza results without the nuisance variable.

7 Chapter 8Table 8.1 Conditional probabilities for effect heredity.Table 8.2 Two halves of a картинка 14factorial.Table 8.3 Two halves of a картинка 15full factorial.Table 8.4 Two halves of a картинка 16full factorial.Table 8.5 The картинка 17fractional factorial design.Table 8.6 Number of runs for full factorial and screening designs.Table 8.7 Factors for puncture resistance experiment.Table 8.8 Data for puncture resistance experiment.Table 8.9 Reduced model of puncture experiment.Table 8.10 Factors for college giving experiment.Table 8.11 Number of parameters for картинка 18full factorial design.

8 Chapter 9Table 9.1 Factors for used car experiment.Table 9.2 Design matrix in standard order for картинка 19.Table 9.3 Five equivalent custom designs.Table 9.4 Alias matrix for TaurusDesign1.csv, large values underlined.Table 9.5 Results of Taurus screening experiment.Table 9.6 Reduced form of Taurus screening experiment.Table 9.7 Alias matrix for 14 runs.Table 9.8 Alias matrix for the blocked Ford/Taurus design.Table 9.9 Blocked design for Taurus/LaCrosse experiment.Table 9.10 Timings for optimal screening designs.

9 Chapter 10Table 10.1 Hot chocolate experiment I.Table 10.2 Hot chocolate experiment II.Table 10.3 Hot chocolate experiment III.

List of Illustrations

1 Chapter 1 Figure 1.1 Life expectancy vs. newspapers per 1000 (left) and log(newspapers... Figure 1.2 Boxplot of default vs. non‐default for credit limit and ages. Figure 1.3 Sample selection bias. Dashed line for observations картинка 20and solid l... Figure 1.4 A/B test for mailing list sign‐ups. Figure 1.5 Skirt images test. Figure 1.6 Mobile landing page test for storage company. Figure 1.7 Video icon test. Figure 1.8 US agricultural output and input in the twentieth century. Figure 1.9 US car imports from Japan.

2 Chapter 2 Figure 2.1 Box plot of one‐week sales resulting from audio versus video sale... Figure 2.2 Unstacked (left) and stacked (right) data.Figure 2.3 Mosaic plot of email response data.Figure 2.4 Box plots comparing sales for alternative landing pages. Left pan...Figure 2.5 Beta distributions.Figure 2.6 Beta‐binomial distribution (left) and blowup of region Business Experiments with R - изображение 21(right)....Figure 2.7 Example report from Google Analytics Experiments shows analysis b...Figure 2.8 Display ads for Acme hotel, versions A (left) and B (right).Figure 2.9 Wald interval coverage for a nominal картинка 22CI.

3 Chapter 3Figure 3.1 Range of картинка 23and precision of slope estimates.

4 Chapter 4Figure 4.1 One‐sided, two‐sample test.Figure 4.2 One‐sided power calculation.Figure 4.3 Box plot and dot plot of typing test performance.Figure 4.4 Before and after typing scores.Figure 4.5 Box plot for the car rental data.Figure 4.6 Tukey HSD intervals for the car rental data.Figure 4.7 MDES when Business Experiments with R - изображение 24and Business Experiments with R - изображение 25: Business Experiments with R - изображение 26.Figure 4.8 Subgroup box plots for landing pages (zeros excluded from data)....Figure 4.9 An illustration of Simpson's paradox in regression.Figure 4.10 Null distribution for a one‐sided, one‐sample test.Figure 4.11 A two‐sided interval is the intersection of two one‐sided interv...Figure 4.12 Lower bound interval Business Experiments with R - изображение 27where Business Experiments with R - изображение 28.

5 Chapter 5Figure 5.1 Boxplots of call center data.Figure 5.2 Plot of call center data.Figure 5.3 DigiPuppet on a child's finger.Figure 5.4 Box plots for separate distances.Figure 5.5 Box plots for combined distances.Figure 5.6 Randomization vs. rerandomization.Figure 5.7 Harry's online banner (left) and mobile Facebook (right) ads.Figure 5.8 Slushie sales by week. Control, solid line; treatment, dashed lin...

6 Chapter 6Figure 6.1 Square diagram for simple experiment.Figure 6.2 Interaction plot for interest rate and annual fee.Figure 6.3 Interaction plot for data in Table 6.9.Figure 6.4 Square diagram for main and interaction effects for data in Table...Figure 6.5 Main effect plots for loan experiment.Figure 6.6 Two interaction plots for loan experiment.Figure 6.7 Two‐way interaction plots for credit card example.Figure 6.8 Half‐normal plot for the fully saturated credit card experiment....Figure 6.9 Score vs. MSAT.Figure 6.10 Pairs of orthogonal vectors.

7 Chapter 7Figure 7.1 Half‐normal plot of postcard data.Figure 7.2 Two parallelepipeds.Figure 7.3 All possible design points.Figure 7.4 Determinants and areas of two three‐point designs.Figure 7.5 A boring color map of the correlations.Figure 7.6 Average pizza sales by day of week.Figure 7.7 Color maps for Bayesian D‐optimal design.Figure 7.8 Color maps for minimal aliasing design.Figure 7.9 Determinants and areas of various 3‐point designs.

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