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OCoLC |
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20220616053447.0 |
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121119t20132013nyua b 001 0 eng |
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|a 2012034411
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|a 9780393071955 (HRD)
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|a 0393071952 (HRD)
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|a (CaEvSKY)sky251253206
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|a (OCoLC)783162698
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037 |
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|b W W Norton & Co Inc, Keystone Industrial Park Attn Mike Charnogursky 800 Keystone Industrial Park, Scranton, PA, USA, 18512
|n SAN 202-5795
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|a EEMO
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|a QA276
|b .W458 2013
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082 |
0 |
0 |
|a 519.5
|2 23
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100 |
1 |
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|a Wheelan, Charles J.
|0 http://id.loc.gov/authorities/names/no98108419
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245 |
1 |
0 |
|a Naked statistics :
|b stripping the dread from the data /
|c Charles Wheelan.
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250 |
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|a First edition.
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260 |
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|a New York :
|b W.W. Norton & Company,
|c 2013.
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300 |
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|a xviii, 282 pages :
|b illustrations ;
|c 25 cm
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a unmediated
|b n
|2 rdamedia
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338 |
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|a volume
|b nc
|2 rdacarrier
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504 |
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|a Includes bibliographical references (pages [261]-267) and index.
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505 |
0 |
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|a Where's the point? -- Descriptive statistics : Who was the best baseball player of all time? -- Deceptive description : "He's got a great personality!" and other true but grossly misleading statements -- Correlation : How does Netflix know what movies I like? -- Basic probability : Don't buy the extended warranty on your $99 printer -- The Monty Hall problem -- Problems with probability : How overconfident math geeks nearly destroyed the global financial system -- The importance of data : "Garbage in, garbage out" -- The central limit theorem : The Lebron James of statistics -- Inference : Why my statistics professor thought I might have cheated -- Polling : How we know that 64 percent of Americans support the death penalty (with a sampling error (plus or minus) 3 percent) -- Regression analysis : The miracle elixer -- Common regression mistakes : The mandatory warning label -- Program evaluation : Will going to Harvard change your life? -- Conclusion : Five questions thathat statistics can help answer -- Appendix : Statistical warfare.
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520 |
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|a Demystifies the study of statistics by stripping away the technical details to examine the underlying intuition essential for understanding statistical concepts.
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650 |
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0 |
|a Statistics.
|0 http://id.loc.gov/authorities/subjects/sh85127580
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650 |
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0 |
|a Social sciences
|x Statistical methods.
|0 http://id.loc.gov/authorities/subjects/sh85124018
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650 |
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7 |
|a MATHEMATICS / Probability & Statistics / General.
|
655 |
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7 |
|a Statistics.
|2 lcgft
|0 http://id.loc.gov/authorities/genreForms/gf2014026181
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907 |
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|c 130415
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|p Can Circulate
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Main Library
|d MSU Main Library
|t 0
|e QA276 .W458 2013
|h Library of Congress classification
|i Printed Material
|m 31293034369672
|n 2
|