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Part 2. Repeated Measures 1' The data below are from a sensory deprivation study looking at hearing threshold before and after one hour in a sensory deprivation chamber. Seven subjects had their hearing checked both before and after they were in a dark, silent chamber. Hearing threshold is the minimum sound level you can detect. Test the hypothesis that hearing should be more sensitive (thus lower numbers) after sensory deprivation compared with before (use alpha = .05). BEFORE: 11, 34, 18, 33, 35, 22, 35 AFTER: 13, 31, 18, 29, 32, 20, 28 What is the design of this study? n = people What is the independent variable? What is the dependent variable? Is the hypothesis onetailed or two-tailed? State the Hypotheses in symbols and words: H0: in words: H]: in words: Create an Excel data le organized by rows. Each row is a participant. Variables Before, After Open this dataset in JASP. To test the experimenters' hypothesis, perform a related samples t-test by selecting IlTests > Classical > Paired Samples t-test (Student 1?). Select After as the rst variable then Before as the second variable. Under Alt Hypothesis indicate your directional prediction (Measure 1 Classical > Independent Samples t-test. Select DR_visits as the variable and pet_ownership as the grouping variable. Check off Location Parameter, 95% Condence Interval, and Descriptives options. Fill in the following om the Descriptives output table. Pet owners Non-owners Means of visits: Std. Deviation Std. Error of Mean Before we look at the results of the ttest, let's plot the means and condence intervals. Check off the Descriptivesplots option below Additional Statistics. This creates a graph with the mean for each group plotted with bars out a distance that represents the 95% condence interval for each group mean. Describe the graph in terms of the amount of overlap of the bars (e.g., approx percentage of overlap) Now, let's test the Equality of Variances between groups. Under Assumptions Check, check off the Equality of variances option. If the p value is greater than .05 the variances are equal - use the student's t-test value we already calculated. If p is less than .05, we will need to use the Welch t-test, which can be calculated by checking off Welch under Tests. Fill in the information below using the appropriate test: Is the assumption of equality of variances met according to this test? Fill in these values from the tables: t = df = Sig. or p level (2-tailed) = Mean Difference = Std. Error of Difference = 95% Condence Interval is : to . The CI shows that the true mean difference between the groups lies within this range of values. Write a sentence reporting results of this statistical test using APA style signicance & report means