Bundle: Essentials Of Statistics For Th...9th EditionFrederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano Publisher: Cengage LearningISBN: 9781337582513
Bundle: Essentials Of Statistics For Th...
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Chapter 1 - Introduction To StatisticsChapter 1.1 - Statistics, Science, And ObservationsChapter 1.2 - Variables And MeasurementChapter 1.3 - Three Data Structures, Research Methods, And StatisticsChapter 1.4 - Statistical NotationChapter 2 - Frequency DistributionsChapter 2.1 - Frequency Distributions And Frequency Distribution TablesChapter 2.2 - Grouped Frequency Distribution TablesChapter 2.3 - Frequency Distribution GraphsChapter 3 - Central Tendency
Chapter 3.2 - The MeanChapter 3.3 - The MedianChapter 3.4 - The ModeChapter 3.5 - Central Tendency And The Shape Of The DistributionChapter 3.6 - Selecting A Measure Of Central TendencyChapter 4 - VariabilityChapter 4.1 - Introduction To VariabilityChapter 4.2 - Defining Variance And Standard DeviationChapter 4.3 - Measuring Variance And Standard Deviation For A PopulationChapter 4.4 - Measuring Variance And Standard Deviation For A SampleChapter 4.5 - Sample Variance As An Unbiased StatisticChapter 4.6 - More About Variance And Standard DeviationChapter 5 - z·Scores: Location Of Scores And Standardized DistributionsChapter 5.2 - z·Scores And Locations In A DistributionChapter 5.3 - Other Relationships Between z, X, The Mean, And The Standard DeviationChapter 5.4 - Using z-Scores To Standardize A DistributionChapter 5.5 - Other Standardized Distributions Based On z-ScoresChapter 5.6 - Looking Ahead To Inferential StatisticsChapter 6 - ProbabilityChapter 6.1 - Introduction To ProbabilityChapter 6.2 - Probability And The Normal DistributionChapter 6.3 - Probabilities And Proportions For Scores From A Normal DistributionChapter 6.4 - Looking Ahead To Inferential StatisticsChapter 7 - Probability And Samples: The Distribution Of Sample MeansChapter 7.1 - Samples, Populations, And The Distribution Of Sample MeansChapter 7.2 - Shape, Central Tendency, And Variability For The Distribution Of Sample MeansChapter 7.3 - z-Scores And Probability For Sample MeansChapter 7.4 - More About Standard ErrorChapter 7.5 - Looking Ahead To Inferential StatisticsChapter 8 - Introduction To Hypothesis TestingChapter 8.1 - The Logic Of Hypothesis TestingChapter 8.2 - Uncertainty And Errors In Hypothesis TestingChapter 8.3 - More About Hypothesis TestsChapter 8.4 - Directional (One-Tailed) Hypothesis TestsChapter 8.5 - Concerns About Hypothesis Testing: Measuring Effect SizeChapter 8.6 - Statistical PowerChapter 9 - Introduction To The T StatisticChapter 9.1 - The T Statistic: An Alternative To ZChapter 9.2 - Hypothesis Tests With The T StatisticChapter 9.3 - Measuring Effect Size For The T StatisticChapter 9.4 - Directional Hypotheses And One-Tailed TestsChapter 10 - The T Test Fortwo Independent SamplesChapter 10.1 - Introduction To The Independent-Measures DesignChapter 10.2 - The Hypotheses And The Independent-Measures T StatisticChapter 10.3 - Hypothesis Tests With The Independent-Measures T StatisticChapter 10.4 - Effect Size And Confidence Intervals For The Independent-Measures TChapter 10.5 - The Role Of Sample Variance And Sample Size In The Independent-Measures T TestChapter 11 - The T Test For Two Related SamplesChapter 11.1 - Introduction To Repeated-Measures DesignsChapter 11.2 - The T Statistic For A Repeated-Measures Research DesignChapter 11.3 - Hypothesis Tests For The Repeated-Measures DesignChapter 11.4 - Effect Size, Confidence Intervals, And The Role Of Sample Size And Sample Variance For The Repeated-Measures TChapter 11.5 - Comparing Repeated· And Independent-Measures DesignsChapter 12 - Introduction To Analysis Of VarianceChapter 12.1 - Introduction (An Overview Of Analysis Of Variance)Chapter 12.2 - The Logic Of Analysis Of VarianceChapter 12.3 - Anova Notation And FormulasChapter 12.4 - Examples Of Hypothesis Testing And Effect Size With An OvaChapter 12.5 - Post Hoc TestsChapter 12.6 - More About An OvaChapter 13 - Repeated-Measures And Two-Factor Analysis Of VarianceChapter 13.1 - Introduction To The Repeated-Measures AnovaChapter 13.2 - Hypothesis Testing And Effect Size With The Repeated-Measures AnovaChapter 13.3 - More About The Repeated-Measures DesignChapter 13.4 - An Overview Of The Two-Factor, Independent-Measures AnovaChapter 13.5 - An Example Of The Two-Factor Anova And Effect SizeChapter 14 - Correlation And RegressionChapter 14.1 - IntroductionChapter 14.2 - The Pearson CorrelationChapter 14.3 - Using And Interpreting The Pearson CorrelationChapter 14.4 - Hypothesis Tests With The Pearson CorrelationChapter 14.5 - Alternatives To The Pearson CorrelationChapter 14.6 - Introduction To Linear Equations And RegressionChapter 15 - The Chi-Square Statistic: Tests For Goodness Of Fit And IndependanceChapter 15.1 - Introduction To Chi-Square: The Test For Goodness Of FitChapter 15.2 - An Example Of The Chi-Square Test For Goodness Of FitChapter 15.3 - The Chi-Square Test For IndependenceChapter 15.4 - Effect Size And Assumptions For The Chi-Square TestsChapter 15.5 - The Relationship Between Chi-Square And Other Statistical Procedures
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