1. Review for Final Exam 2011, 12, 8

2. Important Dates Today: All late HWK Due 5.12 (TR): Submit your project paper to Hauser 105 between 3:45-4:45. Final Exam 5.17, 1:30 – 3:30, Hauser 28 & 30 Review sheet Formula sheet

3. Lecture Outline When to use One-sample z-test One-sample t-test Related-samples t-test, or Independent-samples t-test? One-way ANOVA When to use Pearson Correlation Analysis Regression Analysis, or Chi-square test?

4. One-Sample z-Test When the population mean (  ) and Std. Dev. (  ) are KNOWN, we use one-sample z-test to compare a single sample mean to the known population mean (  ). Key: Look for Population Std. Dev. (  )

5. One-Sample t-Test When the population Std. Dev. (  ) is UNKNOWN, we use one-sample t-test to compare a single sample mean to the known population mean (  ). We use the sample standard deviation (S) to estimate the Std. Err. Key: Look for Population Std. Dev. (  )

6. Related-Samples t-Test Situation 1: When we want to compare two samples that representing two populations (e.g., women vs. men), and the two samples are related, we use related-samples t-test to exam if one population mean is greater/less/equal to the other population mean. Situation 2: When we want to compare two set of scores collected from one sample, we use related- samples t-test to exam if posttest mean is greater/less/equal to pretest mean. Key terms: You must have two set of scores (two columns). The two set of scores must relate to each other.

7. Independent-Samples t-Test When we want to compare two samples that representing two populations (e.g., women vs. men), and the two samples are independent, we use independent-samples t-test to exam if one population mean is greater/less/equal to the other population mean. Key terms: You must have two set of scores (two columns) The two set of scores must from two independent samples

8. One-Way ANOVA When we want to compare three or more samples that representing correspondent populations (e.g., freshmen, sophomore, junior, and senior), we use one-way ANOVA to exam if at least one population mean is different from others. Key terms: You must have three or more sets of scores

9. Pearson Correlation Analysis When we want to examine the relationship between two CONTINUOUS variables, we conduct Pearson Correlation Analysis. Key term: You are examining a relationship. You have “continuous” variables

10. Regression Analysis When we want to use one variable to predict the value of another variable, we compute the regression equation for the best-fitting line. Key terms: Predict Predictor (X) Criterion (Y)

11. Lecture Summary When to use One-sample z-test One-sample t-test Related-samples t-test, or Independent-samples t-test? One-way ANOVA When to use Pearson Correlation Analysis Regression Analysis