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Applied Statistical Inference with MINITAB®

Author: Sally A Lesik
Publisher: Boca Raton : CRC Press, [2019]
Edition/Format:   eBook : Document : English : Second editionView all editions and formats

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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sally A Lesik
ISBN: 9780429444951 0429444958
OCLC Number: 1084727188
Notes: "A Chapman & Hall Book."
Description: 1 online resource
Contents: Chapter 1 IntroductionWhat is Statistics?What This Book Is AboutSummary Tables and Graphical DisplaysDescriptive Representations of DataInferential StatisticsPopulationsDifferent Ways to Collect DataTypes of VariablesScales of VariablesTypes of AnalysesEntering Data into MinitabBest PracticesChapter 2 Graphs and ChartsIntroductionFrequency Distributions and HistogramsUsing Minitab to Create HistogramsStem-and-Leaf PlotsUsing Minitab to Create Stem-and-Leaf PlotsBar ChartsUsing Minitab to Create a Bar ChartBoxplotsUsing Minitab to Create BoxplotsScatter PlotsUsing Minitab to Create Scatter PlotsMarginal PlotsUsing Minitab to Create Marginal PlotsMatrix PlotsUsing Minitab to Create a Matrix PlotBest PracticesChapter 3 Descriptive Representations of Data and Random VariablesIntroductionDescriptive StatisticsMeasures of Central TendencyMeasures of VariabilityUsing Minitab to Calculate Descriptive StatisticsMore on Statistical InferenceDiscrete Random Variables Sampling DistributionsContinuous Random VariablesThe Standard Normal DistributionNon-Standard Normal DistributionsOther Discrete and Continuous Probability DistributionsThe Binomial DistributionThe Poisson DistributionThe t-DistributionThe Chi-Square DistributionThe F-DistributionUsing MINTIAB to Graph Probability DistributionsChapter 4 Statistical Inference for One SampleIntroductionConfidence IntervalsUsing Minitab to Calculate Confidence Intervals for a Population MeanHypothesis Testing: A One-Sample t-Test for a Population MeanUsing Minitab for a One-Sample t-TestPower Analysis for a One-Sample t-TestUsing Minitab for a Power Analysis for a One-Sample t-TestConfidence Intervals and Hypothesis Tests for One ProportionUsing Minitab for a One-Sample ProportionPower Analysis for a One-Sample ProportionConfidence Intervals and Hypothesis Tests for One-Sample VarianceConfidence Intervals for One-Sample VarianceHypothesis Tests for One-Sample VarianceUsing Minitab for One-Sample VariancePower Analysis for One-Sample VarianceConfidence Intervals for One-Sample Count DataUsing Minitab to Calculate Confidence Intervals for a One-Sample Count VariableHypothesis Test for a One-Sample Sample Count VariableUsing Minitab to Conduct a Hypothesis Test for a One-Sample Count VariableUsing Minitab for a Power Analysis for a One-Sample PoissonA Note About One- and Two-Tailed Hypothesis TestsChapter 5 Statistical Inference for Two-SamplesIntroductionConfidence Interval for the Difference between Two MeansUsing Minitab to Calculate a Confidence Interval for the Difference between Two MeansHypothesis Tests for the Difference between Two MeansUsing Minitab to Test the Difference between Two MeansUsing Minitab to Create an Interval PlotUsing Minitab for a Power Analysis for a Two-Sample t-TestPaired Confidence Interval and t-TestUsing Minitab for a Paired Confidence Interval and t-TestDifferences Between Two ProportionsUsing Minitab for Two-Sample Proportion Confidence Intervals and Hypothesis TestsPower Analysis for a Two-Sample ProportionConfidence Intervals and Hypothesis Tests for Two VariancesUsing Minitab for Testing Two Sample VariancesPower Analysis for a Two-Sample VariancesConfidence Intervals and Hypothesis Tests for Two Count VariablesUsing Minitab for a Two-Sample PoissonPower Analysis for a -Sample Poisson RateBest PracticesChapter 6 Simple Linear RegressionIntroductionThe Simple Linear Regression ModelModel Assumptions for Simple Linear RegressionFinding the Equation of the Line of Best FitUsing Minitab for Simple Linear RegressionStandard Errors for Estimated Regression ParametersInferences about the Population Regression ParametersUsing Minitab to Test the Population Slope ParameterConfidence Intervals for the Mean Response for a Specific Value of the Predictor VariablePrediction Intervals for a Response for a Specific Value of the Predictor VariableUsing Minitab to Find Confidence and Prediction IntervalsChapter 7 More on Simple Linear RegressionIntroductionThe Coefficient of DeterminationUsing Minitab to Find the Coefficient of DeterminationThe Coefficient of CorrelationCorrelation InferenceUsing Minitab for Correlation AnalysisAssessing Linear Regression Model AssumptionsUsing Minitab to Create Exploratory Plots of ResidualsA Formal Test of the Normality AssumptionUsing Minitab for the Ryan-Joiner TestAssessing OutliersAssessing Outliers: Leverage ValuesUsing Minitab to Calculate Leverage ValuesAssessing Outliers: Standardized ResidualsUsing Minitab to Calculate Standardized ResidualsAssessing Outliers: Cook's DistancesUsing Minitab to Find Cook's DistancesHow to Deal with OutliersChapter 8 Multiple Regression AnalysisIntroductionBasics of Multiple Regression AnalysisUsing Minitab to Create Matrix PlotsUsing Minitab for Multiple RegressionThe Coefficient of Determination for Multiple RegressionAnalysis of Variance TableTesting Individual Population Regression ParametersUsing Minitab to Test Individual Regression ParametersMulticollinearityVariance Inflation FactorsUsing Minitab to Calculate Variance Inflation FactorsMultiple Regression Model AssumptionsUsing Minitab to Check Multiple Regression Model AssumptionsChapter 9 More on Multiple RegressionIntroductionUsing Categorical Predictor VariablesUsing Minitab for Categorical Predictor VariablesAdjusted Best Subsets RegressionUsing Minitab for Best Subsets RegressionConfidence and Prediction Intervals for Multiple RegressionUsing Minitab to Calculate Confidence and Prediction Intervals for a Multiple Regression AnalysisAssessing OutliersChapter 10 Analysis of Variance (ANOVA)IntroductionBasic Experimental DesignOne-Way ANOVAOne-Way ANOVA Model AssumptionsAssumption of Constant VarianceNormality AssumptionUsing Minitab for One-Way ANOVAsMultiple Comparison TechniquesUsing Minitab for Multiple ComparisonsPower Analysis and One-Way ANOVAChapter 11 Nonparametric StatisticsIntroductionWilcoxon Signed-Rank TestUsing Minitab for the Wilcoxon Signed-Rank TestThe Mann-Whitney TestUsing Minitab for the Mann-Whitney TestKruskal-Wallis TestUsing Minitab for the Kruskal-Wallis TestChapter 12 Two Way Analysis of Variance and Basic Time SeriesTwo-Way Analysis of VarianceUsing Minitab for a Two-Way ANOVABasic Time Series Analysis
Responsibility: Sally A. Lesik.


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