03101oam 2200433 450 991058017370332120230829090448.01-4842-7830-510.1007/978-1-4842-7830-7(OCoLC)1395394035(MiFhGG)GVRL573Q(EXLCZ)992408821360004120230823h20222022 uy 0engurun|---uuuuatxtrdacontentcrdamediacrrdacarrierAnalytics for retail a step-by-step guide to the statistics behind a successful retail business /Rhoda Okunev[First edition].New York, New York :Apress,[2022]©20221 online resource (xiv, 150 pages) illustrations (some color), chartsGale eBooksIncludes index.Print version: Okunev, Rhoda Analytics for Retail Berkeley, CA : Apress L. P.,c2022 9781484278291 Includes indexChapter 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.Retail tradeData processingRetail tradeData processing.381Okunev Rhoda1246265MiFhGGMiFhGGBOOK9910580173703321Analytics for Retail2889826UNINA