LEADER 04641nam 2200529 450 001 9910820174303321 005 20200520144314.0 010 $a1-119-03574-0 010 $a1-119-03575-9 035 $a(CKB)24989705200041 035 $a(NjHacI)9924989705200041 035 $a(Au-PeEL)EBL1895964 035 $a(CaPaEBR)ebr11015207 035 $a(CaONFJC)MIL719007 035 $a(OCoLC)902141659 035 $a(JP-MeL)3000110572 035 $a(Au-PeEL)EBL7104363 035 $a(OCoLC)1347027302 035 $a(MiAaPQ)EBC1895964 035 $a(EXLCZ)9924989705200041 100 $a20150212h20152015 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistics with JMP $egraphs, descriptive statistics and probability /$fPeter Goos, David Meintrup 210 1$aWest Sussex, England :$cWiley,$d2015. 210 4$d2015 215 $a1 online resource (xv, 345 pages) $cillustrations 300 $aIncludes index. 327 $aIntro -- Statistics with JMP: Hypothesis Tests, Anova and Regression -- Contents -- Preface -- Software -- Data Files -- Acknowledgments -- Part One Estimators and Tests -- 1 Estimating Population Parameters -- 1.1 Introduction: Estimators Versus Estimates -- 1.2 Estimating a Mean Value -- 1.2.1 The Mean of a Normally Distributed Population -- 1.2.2 The Mean of an Exponentially Distributed Population -- 1.3 Criteria for Estimators -- 1.3.1 Unbiased Estimators -- 1.3.2 The Efficiency of an Estimator -- 1.4 Methods for the Calculation of Estimators -- 1.5 The Sample Mean 1.5.1 The Expected Value and the Variance -- 1.5.2 The Probability Density of the Sample Mean for a Normally Distributed Population -- 1.5.3 The Probability Density of the Sample Mean for a Nonnormally Distributed Population -- 1.5.4 An Illustration of the Central Limit Theorem -- 1.6 The Sample Proportion -- 1.7 The Sample Variance -- 1.7.1 The Expected Value -- 1.7.2 The 2-Distribution -- 1.7.3 The Relation Between the Standard Normal and the 2-Distribution -- 1.7.4 The Probability Density of the Sample Variance -- 1.8 The Sample Standard Deviation -- 1.9 Applications -- 2 Interval Estimators 2.1 Point and Interval Estimators -- 2.2 Confidence Intervals for a Population Mean with Known Variance -- 2.2.1 The Percentiles of the Standard Normal Density -- 2.2.2 Computing a Confidence Interval -- 2.2.3 The Width of a Confidence Interval -- 2.2.4 The Margin of Error -- 2.3 Confidence Intervals for a Population Mean with Unknown Variance -- 2.3.1 The Student t-Distribution -- 2.3.2 The Application of the t-Distribution to Construct Confidence Intervals -- 2.4 Confidence Intervals for a Population Proportion -- 2.4.1 A First Interval Estimator Based on the Normal Distribution 2.4.2 A Second Interval Estimator Based on the Normal Distribution -- 2.4.3 An Interval Estimator Based on the Binomial Distribution -- 2.5 Confidence Intervals for a Population Variance -- 2.6 More Confidence Intervals in JMP -- 2.7 Determining the Sample Size -- 2.7.1 The Population Mean -- 2.7.2 The Population Proportion -- 3 Hypothesis Tests -- 3.1 Key Concepts -- 3.2 Testing Hypotheses About a Population Mean -- 3.2.1 The Right-Tailed Test -- 3.2.2 The Left-Tailed Test -- 3.2.3 The Two-Tailed Test -- 3.3 The Probability of a Type II Error and the Power -- 3.4 Determination of the Sample Size 3.5 JMP -- 3.6 Some Important Notes Concerning Hypothesis Testing -- 3.6.1 Fixing the Significance Level -- 3.6.2 A Note on the "Acceptance" of the Null Hypothesis -- 3.6.3 Statistical and Practical Significance -- Part Two One Population -- 4 Hypothesis Tests for a Population Mean, Proportion, or Variance -- 4.1 Hypothesis Tests for One Population Mean -- 4.1.1 The Right-Tailed Test -- 4.1.2 The Left-Tailed Test -- 4.1.3 The Two-Tailed Test -- 4.1.4 Nonnormal Data -- 4.1.5 The Use of JMP -- 4.2 Hypothesis Tests for a Population Proportion -- 4.2.1 Tests Based on the Normal Distribution. 330 $a"Provides a comprehensive and rigorous presentation of descriptive statistics and probability theory that has been extensively classroom tested"--$cProvided by publisher. 606 $aProbabilities$xData processing 615 0$aProbabilities$xData processing. 676 $a519.50285/53 686 $a417$2njb/09 686 $a519.50285536$2njb/09 700 $aGoos$b Peter$01598894 702 $aMeintrup$b David 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820174303321 996 $aStatistics with JMP$93921380 997 $aUNINA