Capella PSYC4700 Week 6 Assignment Latest 2023

PSYC4700 - Stat for Behavioral Sciences

Week 6 Assignment

Week 6 –t Tests

Complete the following problems within theWord document. (Do not submit other files.) Show your work for problem sets that require calculations. Ensure that your answer to each problem is clearly visible. (You may want to highlight your answer or use a different typeof color to set it apart.)

Submit the document to your instructor by Sunday, 11:59 p.m. central time.

Problem Set 6.1: One-Sample t Test in JASP

Criterion:Calculate a one-sample t test in JASP.

Data: Use the Minutes Reading dataset. This datasetis a sample of the reading times of Riverbend City online news readers (in minutes).  Riverbend City online news advertises that it is read longer than the national news. The mean for national news is 8 minutes per week.

Instructions: Complete the steps below.

1.Download Minutes Reading data set. Double-click the icon to open the dataset in JASP.

2.In the Toolbar, click T-tests. In the menu that appears, under Classical, select One-sample t-test.

3.Select Time and then click Arrow to send it over to the Variables box.

4.Make sure the box is checked for Student. In the box labeled Test value, enter 8. Hit enter.

5.Copy and paste the output into the Word document.

6.State the nondirectional hypothesis.

7.State the critical t for a = .05 (two tails).

8.Answer the following: Is the length of viewing for Riverbend City online news significantly different than the population mean? Explain.

Note: You will continue to use this dataset for the next problem.

Problem Set 6.2: Confidence Intervals

Criterion:Calculate confidence intervals using JASP.

Data: Continue to use the Minutes Reading dataset.

Instructions: Based on the output from Problem Set 6.2, including a test value (population mean) of 8, calculate the 95% confidence interval by following the steps below.

1.Check the box Location Estimate.

2.Check the box Confidence interval. Fill in the box with 95.0%.

3.Copy and paste the output into the Word document.

(Assignment continues on next page.)

Problem Set 6.3: Independent t Test in JASP

Criterion: Calculate an independent samplest test in JASP.

Data: Use the Scores dataset. Dr. Z is interested in discovering if there is a difference in depression scores between those who do not watch or read the news and those who continue with therapy as normal. She divides her clients with depression into 2 groups. She asks Group 1 not to watch or read any news for two weeks while in therapy and asks Group 2 to continue with therapy as normal. The Scores dataset is a record of the results of the measure, administered after 2 weeks.

Instructions: Complete the steps below.

1.Download Scores data set. Double-click the icon to open the dataset in JASP.

2.In the Toolbar, click T-tests. In the menu that appears, under Classical, select Independent-samples T-test.

3.Select Score and then click the top Arrow to send it over to the Dependent Variables box.

4.Select Group and then click the bottom Arrow to send it over to the Grouping Variable box.

5.Make sure the Student box is selected. Also select Descriptivesand deselect any other boxes.

6.Copy and paste the output into the Word document.

Problem Set 6.4:Independent Samples t Test

Criterion:Identify IV, DV, and hypotheses and evaluate the null hypothesis for an independent samples t test.

Data: Use the information from Problem Set 6.3.

Instructions:Complete the following:

a.Identify the IV and DV in the study. _____________________________________

b.State the null hypothesis and the directional (one-tailed) alternative hypothesis. ___________________________________________________

c.Can you reject the null hypothesis at α = .05? Explain why or why not. ___________________________________________________

Problem Set 6.5:Independent t Test using Excel

Criterion: Calculate an independent samples t test in Excel.

Instructions:Complete the following steps:

a.Open Excel.

b.On an empty tab, enter the data from this information:

Depression Scores: Group 1: 34, 25, 4, 64, 14, 49, 54 ; Group 2: 24, 78, 59, 68, 84, 79, 57

c.Use column A for group 1 and column B for Group 2. In Cell A1, enter 1. In cell B1, enter 2.

d.Enter the data for each group below the label.

e.Click Data Analysis, select t-Test: Two-Sample Assuming Equal Variances. Click OK.

f.In Variable 1 Range enter $A$2:$A$8. (Or, click the graph icon at the right of the box and highlight your data for Group 1. Then, click the graph icon.)

g.In Variable 2 Range enter $B$2:$B$8.

h.Then click OK. Your results will appear on a new tab to the left.

i.Return to your data. Click Data Analysis, select t-Test: Two-Sample Assuming Unequal Variances. Then click OK.

j.In Variable 1 Range enter $A$2:$A$8. (Or, click the graph icon at the right of the box and highlight your data for Group 1. Then, click the graph icon.)

k.In Variable 2 Range enter $B$2:$B$8.

l.Then click OK. Your results will appear on a new tab to the left.

m.Copy the results from both t tests below.