Objectives for the Third Test (2)

# Objectives for the - scores of the y value 9 Students should recognize the research situations where a chi-square test is appropriate 10 Students

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Objectives for the Third Test 1. Students should understand the similarities and differences between the process of estimation and the process of hypothesis testing. 2. Students should be able to compute point estimates and interval estimates of population means and mean differences using the single-sample t, the independent-measures t, and the repeated- measures t statistics. 3. Students should understand how the sample size and the percentage of confidence influence the width of a confidence interval. 4. Understand the Pearson correlation as a descriptive statistic that measures and describes the relationship between two variables. 5. Explain what affects the size of a Pearson Correlation. 6. Students should understand the concept of a linear equation including the slope and y-intercept. 7. Given a linear equation and an X value, compute the predicted y value. 8. Given a predicted y value and the standard error of estimate, compute the range of possible
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Unformatted text preview: scores of the y value. 9. Students should recognize the research situations where a chi-square test is appropriate. 10. Students should be able to conduct a chi-square test for goodness of fit to evaluate a hypothesis about the shape (proportions) of a population distribution. 11. Students should be able to conduct a chi-square test for independence to evaluate the relationship between two variables in the population. 12. Identify the important questions to ask about samples that have been used to conduct research. 13. Explain the following medical and epidemiological statistics: prevalence, incidence, risk ratio, odds ratio 14. Critique descriptive statistics (central tendency, standard error and confidence intervals, graphing) presented by others based on criteria learned in class....
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## This note was uploaded on 01/06/2012 for the course EDP 371 taught by Professor Pituch during the Fall '08 term at University of Texas at Austin.

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