Statistics: Informed Decisions Using Data, Books a la Carte Edition plus NEW MyLab Statistics with Pearson eText-- Access Card Package (5th Edition) - 5th Edition - by Michael Sullivan III - ISBN 9780134136783
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Statistics: Informed Decisions Using Da...
5th Edition
Michael Sullivan III
Publisher: PEARSON
ISBN: 9780134136783

Solutions for Statistics: Informed Decisions Using Data, Books a la Carte Edition plus NEW MyLab Statistics with Pearson eText-- Access Card Package (5th Edition)

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Chapter 2.3 - Additional Displays Of Quantitative DataChapter 2.4 - Graphical Misrepresentations Of DataChapter 3 - Numerically Summarizing DataChapter 3.1 - Measures Of Central TendencyChapter 3.2 - Measures Of DispersionChapter 3.3 - Measures Of Central Tendency And Dispersion From Grouped DataChapter 3.4 - Measures Of Position And OutliersChapter 3.5 - The Five-number Summary And BoxplotsChapter 4 - Describing The Relations Between Two VariablesChapter 4.1 - Scatter Diagrams And CorrelationChapter 4.2 - Least-squares RegressionChapter 4.3 - Diagnostics On The Least-squares Regression LineChapter 4.4 - Contingency Tables And AssociationChapter 5 - ProbabilityChapter 5.1 - Probability RulesChapter 5.2 - The Addition Rule And ComplementsChapter 5.3 - Independence And The Multiplication RuleChapter 5.4 - Conditional Probability And The General Multiplication RuleChapter 5.5 - Counting TechniquesChapter 5.6 - Putting It Together: Which Method Do I Use?Chapter 6 - Discrete Probability DistributionsChapter 6.1 - Discrete Random VariablesChapter 6.2 - The Binomial Probability DistributionChapter 6.3 - The Poisson Probability DistributionChapter 7 - The Normal Probability DistributionChapter 7.1 - Properties Of The Normal DistributionChapter 7.2 - Applications Of The Normal DistributionChapter 7.3 - Assessing NormalityChapter 7.4 - The Normal Approximation To The Binomial Probability DistributionChapter 8 - Sampling DistributionsChapter 8.1 - Distribution Of The Sample MeanChapter 8.2 - Distribution Of The Sample ProportionChapter 9 - Estimating The Value Of A ParameterChapter 9.1 - Estimating A Population ProportionChapter 9.2 - Estimating A Population MeanChapter 9.3 - Estimating A Population Standard DeviationChapter 9.4 - Putting It Together: Which Procedure Do I Use?Chapter 9.5 - Estimating With BootstrappingChapter 10 - Hypothesis Tests Regarding A ParameterChapter 10.1 - The Language Of Hypothesis TestingChapter 10.2 - Hypothesis Tests For A Population ProportionChapter 10.3 - Hypothesis Tests For A Population MeanChapter 10.4 - Hypothesis Tests For A Population Standard DeviationChapter 10.5 - Putting It Together: Which Method Do I Use?Chapter 10.6 - The Probability Of A Type Ii Error And The Power Of The TestChapter 11 - Inferences On Two SamplesChapter 11.1 - Inference About Two Population ProportionsChapter 11.2 - Inference About Two Means: Dependent SamplesChapter 11.3 - Inference About Two Means: Independent SamplesChapter 11.4 - Inference About Two Population Standard DeviationsChapter 11.5 - Putting It Together: Which Method Do I Use?Chapter 12 - Inference On Categorical DataChapter 12.1 - Goodness-of-fit TestChapter 12.2 - Tests For Independence And The Homogeneity Of ProportionsChapter 12.3 - Inference About Two Population Proportions:dependent SamplesChapter 13 - Comparing Three Or More MeansChapter 13.1 - Comparing Three Or More Means (one-way Analysis Of Variance)Chapter 13.2 - Post Hoc Tests On One-way Analysis Of VarianceChapter 13.3 - The Randomized Complete Block DesignChapter 13.4 - Two-way Analysis Of VarianceChapter 14 - Inference On The Least-squares Regression Model And Multiple RegressionChapter 14.1 - Testing The Significance Of The Least-squares Regression ModelChapter 14.2 - Confidence And Prediction IntervalsChapter 14.3 - Introduction To Multiple RegressionChapter 14.4 - Interaction And Dummy VariablesChapter 14.5 - Polynomial RegressionChapter 14.6 - Building A Regression ModelChapter 15 - Nonparametric StatisticsChapter 15.1 - An Overview Of Nonparametric StatisticsChapter 15.2 - Runs Test For RandomnessChapter 15.3 - Inference About Measures Of Central TendencyChapter 15.4 - Inference About The Difference Between Two Medians: Dependent SamplesChapter 15.5 - Inference About The Difference Between Two Medians: Independent SamplesChapter 15.6 - Spearman's Rank-correlation TestChapter 15.7 - Kruskal-wallis Test

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