000 | 01643nam a2200205Ia 4500 | ||
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003 | OSt | ||
005 | 20241025110643.0 | ||
008 | 140223b2013 xxu||||| |||| 00| 0 eng d | ||
020 | _a9780393071955 | ||
040 | _c | ||
082 |
_a519.5 _bWHE |
||
100 |
_aWheelan, Charles _9121474 |
||
245 | _aNaked Statistics: Stripping the Dread from the Data | ||
260 |
_aNew York _bW. W. Norton and Company _c2013 |
||
300 | _a282p | ||
500 | _a1. 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. | ||
600 |
_aStatistics _9121475 |
||
942 |
_2ddc _cLB _k519.5 _mWHE |
||
999 |
_c71850 _d71850 |