LEADER 04846nam 2200673 450 001 9910465876503321 005 20200520144314.0 010 $a1-119-09704-5 035 $a(CKB)3710000000603847 035 $a(EBL)4413728 035 $a(SSID)ssj0001614588 035 $a(PQKBManifestationID)16341140 035 $a(PQKBTitleCode)TC0001614588 035 $a(PQKBWorkID)14914892 035 $a(PQKB)11330377 035 $a(PQKBManifestationID)16346316 035 $a(PQKB)22288805 035 $a(MiAaPQ)EBC4413728 035 $a(DLC) 2015047679 035 $a(Au-PeEL)EBL4413728 035 $a(CaPaEBR)ebr11161295 035 $a(CaONFJC)MIL898827 035 $a(OCoLC)941696321 035 $a(EXLCZ)993710000000603847 100 $a20151202d2016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistics with JMP $ehypothesis tests, ANOVA, and regression /$fPeter Goos, David Meintrup 210 1$aChichester, West Sussex :$cJohn Wiley & Sons, Incorporated,$d2016. 215 $a1 online resource (734 p.) 300 $aIncludes index. 311 $a1-119-09716-9 311 $a1-119-09715-0 327 $aTitle page; Copyright; Dedication; Preface; Acknowledgments; Part One Estimators and Tests; 1 Estimating Population Parameters; 1.1 Introduction: Estimators Versus Estimates; 1.2 Estimating a Mean Value; 1.3 Criteria for Estimators; 1.4 Methods for the Calculation of Estimators; 1.5 The Sample Mean; 1.6 The Sample Proportion; 1.7 The Sample Variance; 1.8 The Sample Standard Deviation; 1.9 Applications; Notes; 2 Interval Estimators; 2.1 Point and Interval Estimators; 2.2 Confidence Intervals for a Population Mean with Known Variance 327 $a2.3 Confidence Intervals for a Population Mean with Unknown Variance2.4 Confidence Intervals for a Population Proportion; 2.5 Confidence Intervals for a Population Variance; 2.6 More Confidence Intervals in JMP; 2.7 Determining the Sample Size; Notes; 3 Hypothesis Tests; 3.1 Key Concepts; 3.2 Testing Hypotheses About a Population Mean; 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; Notes; Part Two One Population; 4 Hypothesis Tests for a Population Mean, Proportion, or Variance 327 $a4.1 Hypothesis Tests for One Population Mean4.2 Hypothesis Tests for a Population Proportion; 4.3 Hypothesis Tests for a Population Variance; 4.4 The Probability of a Type II Error and the Power; Notes; 5 Two Hypothesis Tests for the Median of a Population; 5.1 The Sign Test; 5.2 The Wilcoxon Signed-Rank Test; Notes; 6 Hypothesis Tests for the Distribution of a Population; 6.1 Testing Probability Distributions; 6.2 Testing Probability Densities; 6.3 Discussion; Notes; Part Three Two Populations; 7 Independent Versus Paired Samples 327 $a8 Hypothesis Tests for the Means, Proportions, or Variances of Two Independent Samples8.1 Tests for Two Population Means for Independent Samples; 8.2 A Hypothesis Test for Two Population Proportions; 8.3 A Hypothesis Test for Two Population Variances; 8.4 Hypothesis Tests for Two Independent Samples in JMP; Notes; 9 A Nonparametric Hypothesis Test for the Medians of Two Independent Samples; 9.1 The Hypotheses Tested; 9.2 Exact p-Values in the Absence of Ties; 9.3 Exact p-Values in the Presence of Ties; 9.4 Approximate p-Values; Notes; 10 Hypothesis Tests for the Means of Two Paired Samples 327 $a10.1 The Hypotheses Tested10.2 The Procedure; 10.3 Examples; 10.4 The Technical Background; 10.5 Generalized Hypothesis Tests; 10.6 A Confidence Interval for a Difference of Two Population Means; Notes; 11 Two Nonparametric Hypothesis Tests for Paired Samples; 11.1 The Sign Test; 11.2 The Wilcoxon Signed-Rank Test; 11.3 Contradictory Results; Notes; Part Four More Than Two Populations; 12 Hypothesis Tests for More Than Two Population Means: One-Way Analysis of Variance; 12.1 One-Way Analysis of Variance; 12.2 The Test; 12.3 One-Way Analysis of Variance in JMP; 12.4 Pairwise Comparisons 327 $a12.5 The Relation Between a One-Way Analysis of Variance and a t-Test for Two Population Means 606 $aProbabilities$xData processing 606 $aMathematical statistics$xData processing 606 $aRegression analysis 608 $aElectronic books. 615 0$aProbabilities$xData processing. 615 0$aMathematical statistics$xData processing. 615 0$aRegression analysis. 676 $a519.50285/53 700 $aGoos$b Peter$0876097 702 $aMeintrup$b David 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465876503321 996 $aStatistics with JMP$91956531 997 $aUNINA