Introduction To Statistics And Data Analysis - 6th Edition - by PECK,  Roxy. - ISBN 9781337793612
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Introduction To Statistics And Data Ana...
6th Edition
PECK, Roxy.
Publisher: Cengage Learning,
ISBN: 9781337793612

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Chapter 3.1 - Displaying Categorical Data: Comparative Bar Charts And Pie ChartsChapter 3.2 - Displaying Numerical Data: Stem-and-leaf DisplaysChapter 3.3 - Displaying Numerical Data: Frequency Distributions And HistogramsChapter 3.4 - Displaying Bivariate Numerical DataChapter 3.5 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 4 - Numerical Methods For Describing DataChapter 4.1 - Describing The Center Of A Data SetChapter 4.2 - Describing Variability In A Data SetChapter 4.3 - Summarizing A Data Set: BoxplotsChapter 4.4 - Interpreting Center And Variability: Chebyshev’s Rule, The Empirical Rule, And Z ScoresChapter 4.5 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 5 - Summarizing Bivariate DataChapter 5.1 - CorrelationChapter 5.2 - Linear Regression: Fitting A Line To Bivariate DataChapter 5.3 - Assessing The Fit Of A LineChapter 5.4 - Nonlinear Relationships And TransformationsChapter 5.5 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 6 - ProbabilityChapter 6.1 - Chance Experiments And EventsChapter 6.3 - Basic Properties Of ProbabilityChapter 6.4 - Conditional ProbabilityChapter 6.5 - IndependenceChapter 6.6 - Some General Probability RulesChapter 6.7 - Estimating Probabilities Empirically And Using SimulationChapter 7 - Random Variables And Probability DistributionsChapter 7.1 - Random VariablesChapter 7.2 - Probability Distributions For Discrete Random VariablesChapter 7.3 - Probability Distributions For Continuous Random VariablesChapter 7.4 - Mean And Standard Deviation Of A Random VariableChapter 7.5 - Binomial And Geometric DistributionsChapter 7.6 - Normal DistributionsChapter 7.7 - Checking For Normality And Normalizing TransformationsChapter 7.8 - Using The Normal Distribution To Approximate A Discrete Distribution (optional)Chapter 8 - Sampling Variability And Sampling DistributionsChapter 8.1 - Statistics And Sampling VariabilityChapter 8.2 - The Sampling Distribution Of A Sample MeanChapter 8.3 - The Sampling Distribution Of A Sample ProportionChapter 9 - Estimation Using A Single SampleChapter 9.1 - Point EstimationChapter 9.2 - Large-sample Confidence Interval For A Population ProportionChapter 9.3 - Confidence Interval For A Population MeanChapter 9.4 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 9.5 - Bootstrap Confidence Intervals For A Population Proportion (optional)Chapter 9.6 - Bootstrap Confidence Intervals For A Population Mean (optional)Chapter 10 - Hypothesis Testing Using A Single SampleChapter 10.1 - Hypotheses And Test ProceduresChapter 10.2 - Errors In Hypothesis TestingChapter 10.3 - Large-sample Hypothesis Tests For A Population ProportionChapter 10.4 - Hypothesis Tests For A Population MeanChapter 10.5 - Power And Probability Of Type Ii ErrorChapter 10.6 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 10.7 - Randomization Test And Exact Binomial Test For A Population Proportion (optional)Chapter 10.8 - Randomization Test For A Population Mean (optional)Chapter 11 - Comparing Two Populations Or TreatmentsChapter 11.1 - Inferences Concerning The Difference Between Two Population Or Treatment Means Using Independent Samples 577Chapter 11.2 - Inferences Concerning The Difference Between Two Population Or Treatment Means Using Paired SamplesChapter 11.3 - Large-sample Inferences Concerning The Difference Between Two Population Or Treatment ProportionsChapter 11.4 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 11.5 - Simulation-based Inference For Two Means (optional)Chapter 11.6 - Simulation-based Inference For Two Proportions (optional)Chapter 12 - The Analysis Of Categorical Data And Goodness-of-fit TestsChapter 12.1 - Chi-square Tests For Univariate DataChapter 12.2 - Tests For Homogeneity And Independence In A Two-way TableChapter 12.3 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 13 - Simple Linear Regression And Correlation: Inferential MethodsChapter 13.1 - Simple Linear Regression ModelChapter 13.2 - Inferences About The Slope Of The Population Regression LineChapter 13.3 - Checking Model AdequacyChapter 13.4 - Inferences Based On The Estimated Regression LineChapter 13.5 - Inferences About The Population Correlation CoefficientChapter 13.6 - Interpreting And Communicating The Results Of Statistical AnalysesChapter 14 - Multiple Regression AnalysisChapter 14.1 - Multiple Regression ModelsChapter 14.2 - Fitting A Model And Assessing Its UtilityChapter 14.3 - Inferences Based On An Estimated ModelChapter 14.4 - Other Issues In Multiple RegressionChapter 15 - Analysis Of VarianceChapter 15.1 - Single-factor Anova And The FtestChapter 15.2 - Multiple ComparisonsChapter 15.3 - The F Test For A Randomized Block ExperimentChapter 15.4 - Two-factor AnovaChapter 16.1 - Distribution-free Procedures For Inferences About A Difference Between Two Population Or Treatment Means Using Independent SamplesChapter 16.2 - Distribution-free Procedures For Inferences About A Difference Between Two Population Or Treatment Means Using Paired SamplesChapter 16.3 - Distribution-free Anova

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