Essentials of Statistics for the Behavioral Sciences - 8th Edition - by Frederick J Gravetter, Larry B. Wallnau - ISBN 9781133956570
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Essentials of Statistics for the Behavi...
8th Edition
Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
ISBN: 9781133956570

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Chapter 3.3 - The MedianChapter 3.5 - Selecting A Measure Of Central TendencyChapter 3.6 - Central Tendency And The Shape Of The DistributionChapter 4 - Measures Of VariabilityChapter 4.3 - Standard Deviation And Variance For A PopulationChapter 4.4 - Standard Deviation And Variance For A SampleChapter 4.5 - 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 - Using z-Scores To Standardize A DistributionChapter 5.4 - 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 7 - Probability And Samples: The Distribution Of Sample MeansChapter 7.2 - The Distribution Of Sample MeansChapter 7.3 - Probability And The Distribution Of 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 For Two Independent SamplesChapter 10.2 - The T Statistic For An Independent-Measures Research DesignChapter 10.3 - Hypothesis Tests And Effect Size With The Independent-Measures T StatisticChapter 10.4 - Assumptions Underlying The Independent-Measures T FormulaChapter 11 - The T Test For Two Related SamplesChapter 11.2 - The T Statistic For A Repeated-Measures Research DesignChapter 11.3 - Hypothesis Tests And Effect Size For The Repeated-Measures DesignChapter 11.4 - Uses And Assumptions For Repeated-Measures T TestsChapter 12 - Introduction To Analysis Of VarianceChapter 12.2 - The Logic Of AnovaChapter 12.3 - Anova Notation And FormulasChapter 12.4 - The Distribution Of F-RatiosChapter 12.5 - Examples Of Hypothesis Testing And Effect Size With AnovaChapter 12.6 - Post Hoc TestsChapter 12.7 - The Relationships Between Anova And T TestsChapter 13 - Repeated-Measures And Two-Factor Analysis Of VarianceChapter 13.2 - Repeated-Measures AnovaChapter 13.3 - Two-Factor Anova (Independent Measures)Chapter 14 - CorrelationChapter 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 IndependenceChapter 15.2 - The Chi-Square Test For Goodness Of FitChapter 15.3 - The Chi-Square Test For IndependenceChapter 15.5 - Assumptions And Restrictions For Chi-Square Tests

Book Details

1. The Essence of Anthropology.
2. Characteristics of Culture.
3. Ethnographic Research: Its History, Methods, and Theories.
4. Becoming Human: The Origin and Diversity of Our Species.
5. Language and Communication.
6. Social Identity, Personality, and Gender.
7. Patterns of Subsistence.
8. Economic Systems.
9. Sex, Marriage, and Family.
10. Kinship and Descent.
11. Grouping by Gender, Age, Common Interest, and Class.
12. Politics, Power, and Violence.
13. Spirituality, Religion, and the Supernatural.
14. The Arts.
15. Processes of Change.
16. Global Challenges, Local Responses, and the Role of Anthropology.
Glossary.
Bibliography.
Credits.
Index. 

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The value of the z-score in a hypothesis test is influenced by a variety of factors. Assuming that...Under what circumstances is a t statistic used instead of a z-score for a hypothesis test?Describe the basic characteristics that define an independent-measures, or a between-subjects,...What is the defining characteristic of a repeated-measures or within-subjects research design?Explain why the F-ratio is expected to be near 1.00 the null hypothesis is true.Why should you use ANOVA instead of several t tests to evaluate mean differences when an experiment...How does the denominator of the F-ratio (the error term) differ for a repeated-measures ANOVA...Calculate the sum of products of deviations (SP) for the following set of scores. Use the...A researcher finds a correlation of r = 0.60 between salary and the number of years of education for...a. What information is provided by the sign (+ or ) of the Pearson correlation? b. What information...With a small sample, a single point can have a large effect on the magnitude of the correlation. To...As we have noted in previous chapters, even a very small effect can he significant if the sample is...The regression equation is intended to be the best fitting straight line for a set of data. What is...A set of n = 20 pairs of scores (X and Y values) has SSX = 16, SSY = 100, and SP = 32. If the mean...For the following set of data, a. Find the linear regression equation for predicting Y from X. b....For the following scores, X Y 3 6 6 1 3 4 3 3 5 1 a. Find the regression equation for predicting Y...There appears to be some evidence suggesting that earlier retirement may lead to memory decline...Parametric test (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily...

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