STATISTICS:INFORM.(LL)W/WRKSHT.+MYSTAT - 5th Edition - by Sullivan - ISBN 9780134767604

STATISTICS:INFORM.(LL)W/WRKSHT.+MYSTAT
5th Edition
Sullivan
Publisher: PEARSON
ISBN: 9780134767604

Solutions for STATISTICS:INFORM.(LL)W/WRKSHT.+MYSTAT

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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

Book Details

Statistics: Informed Decisions Using Data, 5th Edition gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today's classroom. His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large. MyLab Statistics for this edition takes advantage of data analytics to add additional exercises to high usage chapters. New Technology Support Videos show the author demonstrating easy-to-follow steps to solve a problem in several different formats–by hand, TI-84, and StatCrunch.

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More Editions of This Book

Corresponding editions of this textbook are also available below:

Statistics: Informed Decisions Using Data, Books a la Carte Edition plus NEW MyLab Statistics with Pearson eText-- Access Card Package (5th Edition)
5th Edition
ISBN: 9780134136783
Statistics: Informed Decisions Using Data (5th Edition)
5th Edition
ISBN: 9780134133539
Statistics: Informed Decisions Using Data; Student Solutions Manual; My StatLab Glue-in Access Card; Sticker for Glue-In Packages (5th Edition)
5th Edition
ISBN: 9780134647791
EP STATISTICS-ACCESS (18 WEEK)
5th Edition
ISBN: 9780135960592
COMBO CARD ACCESS F/ STATS:INFORMED DEC
6th Edition
ISBN: 9780136857525
Statistics: Informed Decisions Using Data
4th Edition
ISBN: 9780321757272

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