Review for Final Exam 2011, 12, 8

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

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?

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. (  )

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. (  )

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.

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

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

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

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)

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