Statistics for the Behavioral Sciences - 3rd Edition - by Gregory J. Privitera - ISBN 9781506386256
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Statistics for the Behavioral Sciences
3rd Edition
Gregory J. Privitera
Publisher: SAGE Publications, Inc
ISBN: 9781506386256

Solutions for Statistics for the Behavioral Sciences

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Chapter 2.10 - Graphing Distributions: Discrete And Categorical DataChapter 3 - Summarizing Data: Central TendencyChapter 3.1 - Introduction To Central TendencyChapter 3.2 - Measures Of Central TendencyChapter 3.3 - Characteristics Of The MeanChapter 3.4 - Choosing An Appropriate Measure Of Central TendencyChapter 4 - Summarizing Data: VariabilityChapter 4.3 - Research In Focus: Reporting The RangeChapter 4.4 - Quartiles And InterquartilesChapter 4.5 - The VarianceChapter 4.6 - Explaining Variance For Populations And SamplesChapter 4.7 - The Computational Formula For VarianceChapter 4.8 - The Standard DeviationChapter 4.10 - Characteristics Of The Standard DeviationChapter 5 - ProbabilityChapter 5.2 - Calculating ProbabilityChapter 5.3 - Probability And Relative FrequencyChapter 5.4 - The Relationship Between Multiple OutcomesChapter 5.5 - Conditional Probabilities And Bayes’s TheoremChapter 5.7 - Probability DistributionsChapter 5.10 - The Variance And Standard Deviation Of A Probability DistributionChapter 5.11 - Expected Value And The Binomial DistributionChapter 6 - Probability, Normal Distributions, And Z ScoresChapter 6.3 - Research In Focus: The Statistical NormChapter 6.5 - The Unit Normal Table: A Brief IntroductionChapter 6.6 - Locating ProportionsChapter 6.7 - Locating ScoresChapter 6.9 - Going From Binomial To NormalChapter 6.10 - The Normal Approximation To The Binomial DistributionChapter 7 - Probability And Sampling DistributionsChapter 7.1 - Selecting Samples From PopulationsChapter 7.2 - Selecting A Sample: Who’s In And Who’s Out?Chapter 7.3 - Sampling Distributions: The MeanChapter 7.4 - Sampling Distributions: The VarianceChapter 7.8 - Apa In Focus: Reporting The Standard ErrorChapter 7.9 - Standard Normal Transformations With Sampling DistributionsChapter 8 - Hypothesis Testing: Significance, Effect Size, And PowerChapter 8.1 - Inferential Statistics And Hypothesis TestingChapter 8.2 - Four Steps To Hypothesis TestingChapter 8.3 - Hypothesis Testing And Sampling DistributionsChapter 8.4 - Making A Decision: Types Of ErrorChapter 8.6 - Research In Focus: Directional Versus Nondirectional TestsChapter 8.7 - Measuring The Size Of An Effect: Cohen’s DChapter 8.8 - Effect Size, Power, And Sample SizeChapter 9 - Testing Means: One-sample And Two-independent-sample T TestsChapter 9.3 - Reading The T TableChapter 9.4 - One-sample T TestChapter 9.5 - Effect Size For The One-sample T TestChapter 9.7 - Two-independent-sample T TestChapter 9.8 - Effect Size For The Two-independent-sample T TestChapter 10 - Testing Means: The Related-samples T TestChapter 10.1 - Related And Independent SamplesChapter 10.2 - Introduction To The Related-samples T TestChapter 10.3 - The Related-samples T Test: Repeated-measures DesignChapter 10.5 - The Related-samples T Test: Matched-pairs DesignChapter 10.6 - Measuring Effect Size For The Related-samples T TestChapter 11 - Estimation And Confidence IntervalsChapter 11.2 - The Process Of EstimationChapter 11.3 - Estimation For The One-sample Z TestChapter 11.5 - Spss In Focus: Confidence Intervals For The One-sample T TestChapter 11.9 - Spss In Focus: Confidence Intervals For The Related-samples T TestChapter 11.10 - Characteristics Of Estimation: Precision And CertaintyChapter 12 - Analysis Of Variance: One-way Between-subjects DesignChapter 12.2 - An Introduction To Analysis Of VarianceChapter 12.4 - Degrees Of FreedomChapter 12.6 - What Is The Next Step?Chapter 12.7 - Post Hoc ComparisonsChapter 12.9 - Measuring Effect SizeChapter 13 - Analysis Of Variance: One-way Within-subjects (repeated-measures) DesignChapter 13.3 - Degrees Of FreedomChapter 13.4 - The One-way Within-subjects AnovaChapter 13.5 - Post Hoc Comparisons: Bonferroni ProcedureChapter 13.7 - Measuring Effect SizeChapter 13.8 - The Within-subjects Design: Consistency And PowerChapter 14 - Analysis Of Variance: Two-way Between-subjects Factorial DesignChapter 14.3 - Designs For The Two-way AnovaChapter 14.4 - Describing Variability: Main Effects And InteractionsChapter 14.5 - The Two-way Between-subjects AnovaChapter 14.6 - Analyzing Main Effects And InteractionsChapter 14.7 - Measuring Effect SizeChapter 15 - CorrelationChapter 15.2 - Describing A CorrelationChapter 15.4 - Spss In Focus: Pearson Correlation CoefficientChapter 15.6 - Limitations In Interpretation: Causality, Outliers, And Restrictions Of RangeChapter 15.8 - Spss In Focus: Spearman Correlation CoefficientChapter 15.10 - Spss In Focus: Point-biserial Correlation CoefficientChapter 15.12 - Spss In Focus: Phi Correlation CoefficientChapter 16 - Linear Regression And Multiple RegressionChapter 16.2 - Fundamentals Of Linear RegressionChapter 16.4 - The Slope And Y-intercept Of A Straight LineChapter 16.5 - Using The Method Of Least Squares To Find The Best FitChapter 16.6 - Using Analysis Of Regression To Determine SignificanceChapter 16.8 - Using The Standard Error Of Estimate To Measure AccuracyChapter 16.9 - Introduction To Multiple RegressionChapter 16.13 - Spss In Focus: Multiple Regression AnalysisChapter 17 - Nonparametric Tests: Chi-square TestsChapter 17.2 - The Chi-square Goodness-of-fit TestChapter 17.3 - Spss In Focus: The Chi-square Goodness-of-fit TestChapter 17.5 - Independent Observations And Expected Frequency SizeChapter 17.6 - The Chi-square Test For IndependenceChapter 17.9 - Spss In Focus: The Chi-square Test For IndependenceChapter 18 - Nonparametric Tests: Tests For Ordinal DataChapter 18.1 - Tests For Ordinal DataChapter 18.3 - Spss In Focus: The Related-samples Sign TestChapter 18.5 - Spss In Focus: The Wilcoxon Signed-ranks T TestChapter 18.7 - Spss In Focus: The Mann-whitney U TestChapter 18.9 - Spss In Focus: The Kruskal-wallis H TestChapter 18.11 - Spss In Focus: The Friedman TestChapter A.1 - Positive And Negative NumbersChapter A.2 - AdditionChapter A.3 - SubtractionChapter A.4 - MultiplicationChapter A.5 - DivisionChapter A.6 - FractionsChapter A.8 - Exponents And RootsChapter A.9 - Order Of ComputationChapter A.10 - Equations: Solving For XChapter A.11 - Summation Notation

Book Details

Statistics for the Behavioral Sciences combines an engaging style with solid pedagogical elements and carefully developed problems and exercises. Using a mix of real-life examples and research examples, Greg Privitera strives to make his material interesting, relevant and understandable to students. Step-by-step example problems, checkpoints for comprehension, chapter summaries, a comprehensive suite of end of chapter problems Making Sense sections, and a mathematics primer in an appendix all help students to check their comprehension and hone their skills.

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More Editions of This Book

Corresponding editions of this textbook are also available below:

WVU PSYCH 203
4th Edition
ISBN: 9781544386713
Student Study Guide With Ibm Spss Statistics Workbook For Statistics For The Behavioral Sciences
12th Edition
ISBN: 9781452203348
Bundle: Privitera: Statistics For The Behavioral Sciences, 2e + Privitera: Student Study Guide With
1st Edition
ISBN: 9781483370712
Statistics for the Behavioral Sciences
2nd Edition
ISBN: 9781452286907
STAT. FOR BEHAVIORAL SCIENCES WEBASSIGN
3rd Edition
ISBN: 9781544317823
Bundle
12th Edition
ISBN: 9781452234892

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