book

Statistical Analysis for Business Using JMP(R): A Student's Guide

by Willbann D. Terpening

August 2011

Beginner to intermediate

380 pages

9h 8m

English

SAS Institute

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Chapter 1 Introduction to StatisticsWhy Study Statistics?The Traditional View of StatisticsThe Modern View of StatisticsA Process View of OrganizationsChanges in Statistical PedagogyChanges in Information TechnologyHow Is This Modern View of Statistics Different?Important Concepts in StatisticsPopulations and SamplesParameters and StatisticsDescriptive and Inferential StatisticsSampling and Nonsampling ErrorStatistical Inference and the Discovery ProcessCollecting DataCollecting Primary DataSurveys and ObservationExperiments and Post-Hoc StudiesA Classification of Data-Gathering SituationsTypes of DataQuantitative versus Qualitative Variables4Discrete and Continuous VariablesScales of MeasurementComputers and Statistical Analysis: Introducing JMPThe Inland Northwest Credit UnionSummaryChapter GlossaryQuestions and ProblemsReferencesNotes
JMP SoftwareThe JMP StarterThe Situation at INCUCreating Data TablesAdding ColumnsEntering Data into the Data TableData Types and Modeling TypesWorking with Data TablesCombining Data TablesUsing Value LabelsReshaping Data TablesSorting Data TablesFiltering Data and Creating Subsets of Data TablesAnalysis PlatformsThe Distribution PlatformFit Y by X PlatformMatched Pairs PlatformFit Model PlatformWorking with ReportsFormatting Report TablesCopying and Printing ReportsPerforming Further AnalysisSummaryChapter GlossaryQuestions and ProblemsNotes
Chapter 3 Visualizing Data in Tables and GraphsThe Situation at INCUStatistical TablesSummary TablesTabulate CommandThe Graph CommandCharts for Qualitative DataBar ChartsPie ChartsTree MapsGraphs for Quantitative DataHistogramsStem-and-Leaf DiagramsLine ChartsLooking at RelationshipsScatter PlotsBubble PlotsContingency Tables Mosaic PlotsExploring Data Using Graph BuilderSummaryChapter GlossaryQuestions and ProblemsReferencesNotes
The Situation at INCUThe Distribution PlatformSummarizing Quantitative VariablesGraphic Analysis PanelQuantiles PanelMoments PanelAdditional MomentsSummary Measures for Qualitative VariablesFrequencies PanelSummarizing by a Qualitative VariableSummaryChapter GlossaryQuestions and ProblemsNotes
Chapter 5 Foundations of Statistical InferenceThe Situation at INCUPopulations and SamplesPopulation Parameters and Sample StatisticsSampling in StatisticsSimple Random SamplesSampling and Inferential StatisticsThe Meaning of ProbabilityProbability DistributionsDiscrete Probability DistributionsContinuous Probability DistributionsThe Concept of a Sampling DistributionSampling Distributions as a Population of ValuesSampling Distributions as a Probability DistributionSampling Distributions for Common Sample StatisticsSampling Distributions for the MeanSampling Distributions for the Standard Deviation and VarianceSampling Distributions for the ProportionSampling Distributions for the MedianThe Concept of BootstrappingSummaryChapter GlossaryQuestions and ProblemsReferencesNotes

The Situation at INCUIntroduction to EstimationThe Concept of Sampling ErrorInterval EstimationFinding the Right Sample SizeIntroduction to Hypothesis Testingp-ValuesTests of EquivalenceJMP and Inferences about One VariableInferences about MeansInferences about Variances and Standard DeviationsInferences about MediansSign Test for MediansBootstrapping Inference about the MedianInferences about ProportionsFinding the Right Sample Size for ProportionsSummaryChapter GlossaryQuestions and ProblemsReferencesNotes
Chapter 7 Effects of a Qualitative Variable on a Quantitative VariableThe Situation at INCUQualitative Variables and GroupingIndependent and Dependent Variables (Factor and Response)Independent versus Dependent GroupsQualitative Variables with Two LevelsIndependent GroupsDependent GroupsQualitative Variables with Three or More LevelsTests for Three or More MeansTests for Three of More VariancesTests for Three or More MediansSummaryChapter GlossaryQuestions and ProblemsReferencesNotes
The Situation at INCUThe Fit Y by X Platform for Qualitative VariablesThe Logic of Chi-Square Tests for Contingency TablesCorrespondence AnalysisTwo by Two Contingency TablesContingency Tables and the Classic Z TestRisk DifferenceSummaryChapter GlossaryQuestions and ProblemsReferencesNotes
The Situation at INCUCorrelation AnalysisThe Bivariate Platform and the Density EllipseCorrelation CoefficientRegression AnalysisAssumptions of Linear Regression Regression Analysis in the Bivariate PlatformSummaryChapter GlossaryQuestions and ProblemsNotes
The Situation at INCUBinomial Regression and the Logic of Logistic RegressionThe Logistic PlatformLogistic RegressionInverse PredictionMultinomial RegressionA Multinomial ExampleMultinomial Logistic Regression and ANOVASummaryChapter GlossaryQuestions and ProblemsNotes
Chapter 11 Introduction to Multivariate Statistics: Multiple RegressionThe Situation at INCUIntroduction to Multivariate Analysis: The JMP PlatformsCorrelation Analysis and the Multivariate PlatformMultivariate OptionsMultiple Regression and the Fit Model PlatformThe Fit Model PlatformMultiple Regression ResultsRegression DiagnosticsAnalysis of ResidualsInfluence: Leverage and OutliersMulticollinearity in RegressionSelecting Factors for Inclusion in the ModelStepwise RegressionNominal Variables in RegressionDummy CodingSummaryChapter GlossaryQuestions and ProblemsReferencesNotes

Overview

A complete and thorough introduction to business statistics using JMP. While the book is designed for introductory business statistics courses at the undergraduate or MBA level, industry professionals wanting to brush up on their knowledge of statistics and those wanting an introduction to using JMP for statistical analysis will also find it useful.