000 | 01678nam a22001937a 4500 | ||
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999 |
_c16115 _d16115 |
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005 | 20200828120550.0 | ||
008 | 200828b2014 ||||| |||| 00| 0 eng d | ||
020 | _a978039334777 | ||
040 | _aMAIN | ||
041 | _aENG | ||
082 |
_a519.5 _bWHE/NAK |
||
100 | _aWheelan, Charles | ||
245 |
_aNaked statistics : _bstripping the dread from the data _cby Charles Wheelan. |
||
260 |
_aNew York : _bW.W. Norton & Co., _c2014. |
||
300 | _a282 p. | ||
500 | _aTable of Contents: Introduction: Why I Hated Calculus But Love Statistics Chapter 1. What's the point? Chapter 2. Descriptive Statistics : Who was the best baseball player of all time? Chapter3. Deceptive Description : "He's got a great personality!" and other true but rossly misleading statements Chapter 4. Correlation : How does Netflix know what movies I like? Chapter 5. Basic Probability : Don't buy the extended warranty on your $99 printer Chapter 6. The Monty Hall Problem Chapter 7. The Importance of Data : "Garbage in, garbage out" Chapter 8. The Central Limit Theorem : The Lebron James of Statistics Chapter 9. Inference : Why my Statistics Professor thought I might have cheated Chapter 10. Polling : How we know that 64 percent of Americans support the death penalty (with a sampling error (plus or minus) 3 percent) -- Chapter 11. Regression Analysis : The miracle elixir -- Chapter 12. Common regression Mistakes : The Mandatory Warning Label Chapter 13. Program Evaluation : Will going to Harvard change your life? Conclusion : Five questions that statistics can help answer -- Appendix : Statistical software Notes Index | ||
650 | _aStatistics. | ||
942 | _cBK |