Download Steps in Null Hypothesis Significance Testing (NHST) for Hypothesis Testing - Prof. Sondra and more Study notes Psychology in PDF only on Docsity! Steps in NHST (Null Hypothesis Significance Testing) 1. State hypotheses in 3-valued logic form. Hypotheses are stated using population parameters 2. Examine data and decide on statistical test (e.g., z-test, one of several t-tests, etc.) 3. Choose critical p-value (alpha). Usually, .05 is chosen; sometimes .01 4. Obtain critical value from appropriate table (that is, set up rejection region) 5. Plug-and-chug through formula of statistical test to obtain observed value 6. Compare observed and critical values and draw conclusion regarding the hypotheses 7. Compute and interpret effect size estimate 8. Construct and interpret appropriate confidence interval(s) Steps in NHST (Null Hypothesis Significance Testing) 1. State hypotheses in 3-valued logic form. Hypotheses are stated using population parameters 2. Examine data and decide on statistical test (e.g., z-test, one of several t-tests, etc.) 3. Choose critical p-value (alpha). Usually, .05 is chosen; sometimes .01 4. Obtain critical value from appropriate table (that is, set up rejection region) 5. Plug-and-chug through formula of statistical test to obtain observed value 6. Compare observed and critical values and draw conclusion regarding the hypotheses 7. Compute and interpret effect size estimate 8. Construct and interpret appropriate confidence interval(s) Steps in NHST (Null Hypothesis Significance Testing) 1. State hypotheses in 3-valued logic form. Hypotheses are stated using population parameters 2. Examine data and decide on statistical test (e.g., z-test, one of several t-tests, etc.) 3. Choose critical p-value (alpha). Usually, .05 is chosen; sometimes .01 4. Obtain critical value from appropriate table (that is, set up rejection region) 5. Plug-and-chug through formula of statistical test to obtain observed value 6. Compare observed and critical values and draw conclusion regarding the hypotheses 7. Compute and interpret effect size estimate 8. Construct and interpret appropriate confidence interval(s) Example problem for z-test for means A graduate student, Martin, collected a sample of alcoholics to test the hypothesis that long-term alcoholics will have lower overall intelligence than the general population. In his study, Martin sampled 20 long-term alcoholics and administered the Stanford-Binet Intelligence Scale which has been standardized with a mean of 100 and standard deviation of 16. The data follow: 90, 100, 97, 68, 98, 96, 95, 96, 78, 98, 100, 90, 98, 95, 90, 77, 87, 101, 100, 90 Using an alpha level (critical p-value) of .05 and a z-test for means, work through the steps in NHST. Example problem for z-test for means A graduate student, Martin, collected a sample of alcoholics to test the hypothesis that long-term alcoholics will have lower overall intelligence than the general population. In his study, Martin sampled 20 long-term alcoholics and administered the Stanford-Binet Intelligence Scale which has been standardized with a mean of 100 and standard deviation of 16. The data follow: 90, 100, 97, 68, 98, 96, 95, 96, 78, 98, 100, 90, 98, 95, 90, 77, 87, 101, 100, 90 Using an alpha level (critical p-value) of .05 and a z-test for means, work through the steps in NHST. Example problem for z-test for means A graduate student, Martin, collected a sample of alcoholics to test the hypothesis that long-term alcoholics will have lower overall intelligence than the general population. In his study, Martin sampled 20 long-term alcoholics and administered the Stanford-Binet Intelligence Scale which has been standardized with a mean of 100 and standard deviation of 16. The data follow: 90, 100, 97, 68, 98, 96, 95, 96, 78, 98, 100, 90, 98, 95, 90, 77, 87, 101, 100, 90 Using an alpha level (critical p-value) of .05 and a z-test for means, work through the steps in NHST.
