Naked Statistics: Stripping the Dread from the Data
Material type:
- 9780393071955
- 519.5 WHE
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 519.5 WHE (Browse shelf(Opens below)) | Available | M0029011 |
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519.5 TRY Methods for Business Analysis and Forecasting: Text and Cases | 519.5 WAL Statistics for Business | 519.5 WAT Statistics for Management and Economics | 519.5 WHE Naked Statistics: Stripping the Dread from the Data | 519.5 WHI Statistics for Business: An Introduction | 519.5 WRI Social Science Statistics | 519.503 CRA The Sage Dictionary of Statistics |
1. Where's the point? 2. Descriptive statistics : Who was the best baseball player of all time? 3. Deceptive description : "He's got a great personality!" and other true but grossly misleading statements 4. Correlation : How does Netflix know what movies I like? 5. Basic probability : Don't buy the extended warranty on your 9 printer 6. The Monty Hall problem 7. Problems with probability : How overconfident math geeks nearly destroyed the global financial system 8. The importance of data : "Garbage in, garbage out" 9. The central limit theorem : The Lebron James of statistics 10. Inference : Why my statistics professor thought I might have cheated 11. Polling : How we know that 64 percent of Americans support the death penalty (with a sampling error (plus or minus) 3 percent) 12. Regression analysis : The miracle elixir 13. Common regression mistakes : The mandatory warning label 14. Program evaluation : Will going to Harvard change your life? 15. Conclusion : Five questions that statistics can help answer 16. Appendix : Statistical warfare.
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