Analytics for Retail [electronic resource] : A Step-by-Step Guide to the Statistics Behind a Successful Retail Business / by Rhoda Okunev.

Chapter 1: The Basics of Statistics -- Chapter 2: The Normal Curve -- Chapter 3: Probability and Percentages and Their Practical Business Uses -- Chapter 4: Retail Math: Basic, Inventory, Productivity, and Growth Rate Metrics -- Chapter 5: Financial Ratios -- Chapter 6: Using Frequencies and Percentages to Create Stories from Charts -- Chapter 7: Hypothesis Testing and Interpreting Results -- Chapter 8: Pearson Correlation and Simple Regressions -- Chapter 9: Independent t-test -- Chapter 10: Putting it all Together: An Email Campaign -- Chapter 11: Forecasting: Planning for Future Scenarios -- Chapter 12: Epilogue -- Appendix A: Accounting Spreadsheet -- Appendix B: Book Email Spreadsheet -- Appendix C: Forecasting Spreadsheet -- Appendix D: Data Types -- Appendix E: Math Review. .

Examine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and communication in retail business environments. Everyone is a buyer or seller of products these days whether through a physical department store, Amazon, or their own business website. This book is a step-by-step guide to understanding and managing the mechanics of markups, markdowns, and basic statistics, math and computers that will help in your retail business. You'll tackle what to do with data once it is has accumulated and see how to arrange the data using descriptive statistics, primarily means, median, and mode, and then how to read the corresponding charts and graphs. Analytics for Retail is your path to creating visual representations that powerfully communicate information and drive decisions. You will: Review standard statistical concepts to enhance your understanding of retail data Understand the concepts of markups, markdowns and profit margins, and probability Conduct an A/B testing email campaign with all the relevant analytics calculated and explained.