000 | 00989nam a22001577a 4500 | ||
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999 |
_c4478 _d4478 |
||
008 | 180402b xxu||||| |||| 00| 0 eng d | ||
020 | _a978-0-393-07195-5 | ||
082 |
_223 _a519.5 _bWHE |
||
100 | _aWheelan Charles | ||
245 |
_aNaked Statistics : _bStripping the dread out of data / _cCharles Wheelan. |
||
250 | _b2013. | ||
260 |
_aLondon. _bW.W.Norton & Company; _c2013. |
||
300 |
_a282 p . ; _bhardbound _c16x27cm |
||
505 | _a1. What'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 groosly misleading statements 4. Correlation: How does Netflix know what movies I like? 5. Basic probability: Dont buy the extended warranty on your $99 printer 6. Problems with probability 7. The importance of data 8. The central limit theorem 9. Inference 10. Polling 11. Regression Analysis 12. Common regression mistakes 13. Program Evaluation | ||
942 |
_2ddc _cBK |