TAILIEUCHUNG - Ebook Statistics for the behavioral sciences (2nd edition): Part 2

(BQ) Part 2 book "Statistics for the behavioral sciences" has contents: Testing means - The related samples t-Test; estimation and confidence intervals; linear regression and multiple regression; nonparametric tests - Chi-Square tests;.and other contents. | Testing Means One-Sample and Two-IndependentSample t Tests • • • Learning Objectives After reading this chapter, you should be able to: I. 2. Explain why a t distribution is associated with n - 1 degrees of freedom and describe the information that is conveyed by the t statistic. Calculate the degrees of freedom for a onesample t test and a two-independent-sample t test, and locate critical values in the t table. 3. Identify the assumptions for the one-sample t test. 4. Compute a one-sample t test and interpret the results. 5. Compute effect size and proportion of variance for a one-sample t test. 6. Identify the assumptions for the twoindependent-sample t test. 7. Compute a two-independent-sample ttest and interpret the results. 8. Compute effect size and proportion of variance for a two-independent-sample t test. 9. Summarize the results of a one-sample t test and a two-independent-sample t test in APA format. I0. Compute a one-sample t test and a twoindependent-sample t test using SPSS. Chapter 9 : Te sting Means 265 GOING FROM ZTO t In the discussion of hypothesis testing in Chapter 8, we introduced the one-sample z test. To compute the test statistic for a one-sample z test, we must know the value of the population variance. However, it is rare in behavioral science that we know the variance of a population, in which case we cannot compute the z statistic: Z obt M-fl h = - - , W ere 0 M cr = ,-. crM ; n To compute this z statistic formula, we need to know the population standard deviation, which requires that we know the variance. If we do not know the population variance, then we cannot compute the value for z. We need an alternative test statistic that can be computed when the population variance is unknown. An alternative to the z statistic was proposed by William Sealy Gosset (Student, 1908), a scientist working with the Guinness brewing company to improve brewing processes .

• Giáo dục học
• The behavioral sciences
• Testing means
• The related samples t Test
• Confidence intervals
• Linear regression
• Multiple regression
• Nonparametric tests
• Behavioral and social sciences research
• Improving the health of the nation
• Informing the prospectus
• Accomplishments in the behavioral and social sciences
• Developments in basic behavioral and social sciences research
• application of behavioral and social sciences research
• Summarizing data
• Normal distributions
• Sampling distributions
• Hypothesis testing
• Effect size
• Fundamental statistics
• Basic concepts
• Displaying data
• Central tendency
• The normal distribution
• Behavioral sciences
• The appropriate analysis
• Distribution free statistical tests
• Repeated measures analysis
• Factorial analysis
• Analysis of variance
• Understanding statistics
• Measurement concepts
• Frequency distributions
• The normal curve
• Standard scores
• Measures of central tendency
• Inferential statistics
• The normal deviate
• Sampling distribution
• Essentials of statistics
• Independent samples
• Correlation and regression
• The chi square statistic
• Conceptual Benefits
• Approval Procedures
• Ethical Issues
• International Behavioral
• Cross Cultural
• Collaborative Research
• Campbells Biology
• Lecture Biology
• Biological sciences
• Biological organization
• Systems biology
• Behavioral ecology
• Research training in the biomedical
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• Federal government
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• American Journal on Mental Retardation
• Avances en Pscologia
• The Behavior Analyst
• Behavioral Interventions
• Behavioral and Brain Sciences
• Buchanan
• ever resourceful
• medical education
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• Trends in Durango
• Doodys Health Sciences
• the book title
• cell biology
• the genetic physiologic
• specific behavioral
• the compartments
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• Cellular Anatomy
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• Behavioral Science
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• Vertical Linking
• Empirical Example
• Equating Functions
• Statistical Models
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• Descriptive Statistics
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• Power Analysis
• Repeated Measures
• Statistical Tables
• Evidence and Logic
• Reciprocal Altruism
• Deconstructing Frank
• Research Program
• Rule Violators
• Altruism
• Financial data
• Special features
• Number of awards
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• Number awarded
• Eligibility
• Constrained Contingency
• Inequality Constrained
• Bayesian Evaluation
• Encompassing Prior
• Bayes Factors
• Factor Analysis
• Categorical Indicators
• Bayesian Computational
• Constrained Latent
• Analyzing Categorical
• Marginal Models
• Measurement Theory
• Antitest Arguments
• Fundamental Typology
• Data Relations
• Dichotomous Scoring