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Business Experiments with R. Edition No. 1

  • ID: 5186121
  • Book
  • May 2021
  • 384 Pages
  • John Wiley and Sons Ltd
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This book is a guide on experiment designs for business students. It is aimed at an underserved market in business statistics textbooks – a book for the Âsecond course which addresses issues like small samples, lack of normality, and data confounding. The authors focus on the A/B tests (and their variants) that are widely used in industry, but not typically covered in business statistics or data science textbooks. The book is organized so that it can be used both with general business students, such as MBA or executive education students, and with the growing number of masterÂs programs in Business Analytics and Marketing Analytics. Part I provides students with the tools they need to design and analyze two-treatment experiments (i.e., A/B tests) to answer business questions, focusing on the strategic and technical issues involved in designing experiments that will truly affect organizations. Part II builds on the foundation in Part I, expanding the multivariable testing.
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Preface xiii

Suggested courses using this book xv

Acknowledgments xix

1 Why Experiment? 1

2 Analyzing A/B Tests: Basics 49

3 Designing A/B Tests with Large Samples 107

4 Analyzing A/B Tests: Advanced Techniques 127

5 Designing Tests with Small Samples 189

6 Analyzing Designs via Regression 229

7 Two-Level Full Factorial Experiments 281

8 Two-Level Screening Designs 329

9 Custom Design of Experiments 357

10 Epilogue 397

Index 419

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B. D. McCullough
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