PSY 315 WEEK 4 PROBLEMS
Week 4 Practice Problems
11. List the five steps of hypothesis testing, and explain the procedure and logic of each
Step 1: During this step of hypothesis testing, the query is stated again as a research theory and a null theory regarding the populations. The null and research hypothesizes are the opposites of each other. This step is necessary because it explains the theory and recognizes the populations, which will be worked throughout the study.
Step 2: During this second step, the characteristics of the comparison distribution is determined. In instances that the null theory is correct, the comparison distribution is compared to the score depending on the sample’s outcomes.
Step 3: During this third step, the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected is determined (Aron, Aron, and Coups, 2009). Here a researcher rejects the null hypothesis if the point of the cutoff sample score reaches or exceeds the sample score. If the null hypothesis is true the Z score is set as a score, which is actually unlikely.
Step 4: This is the step in which the test’s sample results are gathered and the sample’s score on the comparison distribution is determined.
Step 5: Lastly, this is when the decision whether the null hypothesis is rejected or not is made. A researcher either declares the test invalid or rejects the null hypothesis by comparing the cut off z score to the sample’s Z score.
14. Based on the information given for each of the following studies, decide whether to reject the null hypothesis. For each, give (a) the Z-score cutoff (or cutoffs) on the comparison distribution at which the null hypothesis should be rejected, (b) the Z score on the comparison distribution for the sample score, and (c) your conclusion. Assume that all populations are normally distributed.
Population
Study µ σ Sample score p Tails of Test
A 5
11. List the five steps of hypothesis testing, and explain the procedure and logic of each
Step 1: During this step of hypothesis testing, the query is stated again as a research theory and a null theory regarding the populations. The null and research hypothesizes are the opposites of each other. This step is necessary because it explains the theory and recognizes the populations, which will be worked throughout the study.
Step 2: During this second step, the characteristics of the comparison distribution is determined. In instances that the null theory is correct, the comparison distribution is compared to the score depending on the sample’s outcomes.
Step 3: During this third step, the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected is determined (Aron, Aron, and Coups, 2009). Here a researcher rejects the null hypothesis if the point of the cutoff sample score reaches or exceeds the sample score. If the null hypothesis is true the Z score is set as a score, which is actually unlikely.
Step 4: This is the step in which the test’s sample results are gathered and the sample’s score on the comparison distribution is determined.
Step 5: Lastly, this is when the decision whether the null hypothesis is rejected or not is made. A researcher either declares the test invalid or rejects the null hypothesis by comparing the cut off z score to the sample’s Z score.
14. Based on the information given for each of the following studies, decide whether to reject the null hypothesis. For each, give (a) the Z-score cutoff (or cutoffs) on the comparison distribution at which the null hypothesis should be rejected, (b) the Z score on the comparison distribution for the sample score, and (c) your conclusion. Assume that all populations are normally distributed.
Population
Study µ σ Sample score p Tails of Test
A 5
References: Aron, A., Aron, E. N., & Coups, E. (2009). Statistics for psychology (5th ed.). Upper Saddle River, NJ: Pearson Prentice Hall. Whitaker, S. (2013). Individual Assingment . A Student of Psychology: A Walk Through the Human Mind .