Book description
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.- 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
Table of contents
- Cover
- Front Matter
- 1. The Basics of Statistics
- 2. The Normal Curve
- 3. Probability and Percentages, and Their Practical Business Uses
- 4. Retail Math: Basic, Inventory/Stock, and Growth Metrics
- 5. Financial Ratios
- 6. Using Frequencies and Percentages to Create Stories from Charts
- 7. Hypothesis Testing and Interpretation of Results
- 8. Pearson Correlation and Using the Excel Linear Trend Equation and Excel Regression Output
- 9. Independent T-Test
- 10. Putting It All Together: An Email Campaign
- 11. Forecasting: Planning for Future Scenarios
- 12. Epilogue
- Back Matter
Product information
- Title: Analytics for Retail: A Step-by-Step Guide to the Statistics Behind a Successful Retail Business
- Author(s):
- Release date: June 2022
- Publisher(s): Apress
- ISBN: 9781484278307
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