000763864 000__ 02200cam\a2200301\i\4500 000763864 001__ 763864 000763864 005__ 20210515121422.0 000763864 008__ 121119s2013\\\\nyua\\\\\b\\\\001\0\eng\\ 000763864 010__ $$a 2012034411 000763864 020__ $$a9780393071955$$q(hardcover) 000763864 020__ $$a0393071952$$q(hardcover) 000763864 035__ $$a(OCoLC)ocn783162698 000763864 040__ $$aDLC$$beng$$erda$$cDLC$$dIG#$$dBTCTA$$dBDX$$dAZZPT$$dUPZ$$dOCLCO$$dTWC$$dLIV$$dABG$$dYDXCP$$dUKMGB$$dJOY$$dILC$$dVP@$$dMOF$$dBWX$$dJP3$$dTTS$$dCDX$$dGYS$$dNSB$$dOCLCF$$dKEC$$dBEDGE$$dP4I$$dOCLCQ$$dCHVBK$$dKMS$$dSOI$$dOVY$$dOCLCQ$$dS3O 000763864 042__ $$apcc 000763864 049__ $$aISEA 000763864 05000 $$aQA276$$b.W458 2013 000763864 08200 $$a519.5$$223 000763864 1001_ $$aWheelan, Charles J. 000763864 24510 $$aNaked statistics :$$bstripping the dread from the data /$$cCharles Wheelan. 000763864 250__ $$aFirst edition. 000763864 264_1 $$aNew York :$$bW.W. Norton & Company,$$c[2013] 000763864 300__ $$axviii, 282 pages :$$billustrations ;$$c25 cm 000763864 336__ $$atext$$btxt$$2rdacontent 000763864 337__ $$aunmediated$$bn$$2rdamedia 000763864 338__ $$avolume$$bnc$$2rdacarrier 000763864 504__ $$aIncludes bibliographical references (pages 261-267) and index. 000763864 5050_ $$aWhy I hated calculus but love statistics -- What'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 elixir -- Common regression mistakes : The mandatory warning label -- Program evaluation : Will going to Harvard change your life? -- Conclusion : Five questions that statistics can help answer -- Appendix : Statistical software. 000763864 650_0 $$aStatistics. 000763864 85200 $$bgen$$hQA276$$i.W458$$i2013 000763864 909CO $$ooai:library.usi.edu:763864$$pGLOBAL_SET 000763864 980__ $$aBIB 000763864 980__ $$aBOOK