In general, the t test for correlated groups is a more powerful test than the sign test. Is this statement true? Explain why? Can you think of situations in which the sign test might be more powerful than the t test for correlated groups (assume N is the same fo
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- A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…The following test scores are for two classes that took the same test. (The highest possible score on the test was 60.) Class 1 (24 scores): 37, 45, 52, 55, 11, 55, 44, 55, 35, 25, 52, 42, 35, 21, 42, 52, 41, 40, 34, 51, 41, 41, 41, 41 Class 2 (25 scores): 50, 40, 40, 23, 40, 50, 31, 31, 40, 31, 31, 31, 53, 33, 33, 35, 55, 24, 39, 40, 41, 59, 41, 39, 46 Form a back-to-back stem and leaf plot with one stem. Put the leaves for one class on the right side of the stem and the leaves for the other class on the left side. Record the leaves in increasing order from the stem. Leaf (Class 1) Stem Leaf (Class 2) 4 3 1The effects of social skill training on a 29 year-old mentally retarded male adult were explored. The subject listened to typical social situations (such as getting a compliment or saying thank you) on audiotape and discussed the situations with a therapist. The subject's positive social verbal interactions were counted before the training, at three times during the training period, and at three times after the training had been completed. All counts were taken by observing the subject at a evening recreation time in the subject's group home. Results show that positive interactions increased during the training period but then rapidly decreased after training had stopped. Independent variable (construct): Levels (operational def): Organismic/Manipulated: B/W or W/I: Dependent variable (Construct & Operational def): Type of Hypothesis: Type of Statistic: Research Design:
- would this be a one tail or two tail test?A social psychologist hypothesized that a white person is more likely to cooperate with another person than a black person in a task requiring cooperation (this would be considerate an alternative hypothesis). To test this idea he conducted an experiment in which white subjects either worked on a task with a white person or black person (both of these “others” were confederates of the experimenter). Thirty-one subjects were randomly assigned to the “white-other” treatment (say this is treatment 1) and 31 were randomly assigned to the “black-other” treatment (this is treatment 2). If the mean cooperation scores, on a scale from 0 to 20, were 14 for those subjects in the “white-other” treatment and 12 for those in the “black-other” treatment, run an appropriate test to test the social psychologist’s hypothesis. Let us further say that the variance for the cooperation measure for the “white-other” treatment was = 2.48 and the variance for the “black-other” treatment was = 2.52. Use =0.05…A recent study investigated whether cell phone users experience separation anxiety when they cannot access their phones. Because blood pressure increases with anxiety, the researchers used systolic blood pressure as an operational measure of anxiety. The experiment involved a random sample of cell phone users that were divided into two groups at random. One group of participants completed a survey while their phones were locked in a cabinet in a separate room and the other group of participants completed the same survey while their phones were nearby. (The survey questions were unrelated to cell phone use.) At the end of the survey, theresearchers measured each participant's systolic blood pressure. The same experiment was conducted in Montreal, Toronto, Vancouver, and St. Zotique. The blood pressure data for all participants needed are below. Use these data to answer the following question: comoute the estimated standard error of d for the data collected in toronto. Please answer to 5…
- The results of IKEA's Annual Job Satisfaction Survey showed that 30% of employees are very satisfied with their job, 46% are satisfied, 20% are dissatisfied, and 4% are very dissatisfied. A sample of 50 managers yielded the following results: Category Very satisfied Satisfied Dissatisfied Very dissatisfied Number of Respondents 15 20 10 5 Test using a = 1% to determine whether the job satisfaction for employees is different from the job satisfaction for managers.A high school track coach wanted to test whether giving the students an energy drink could affect performance during the 100 meter race. The coach split the 26 boys into two equal sized groups, where Group 1 was given the energy drink and Group 2 was not. The 100 meter race times were recorded during practice and shown in the table below. What inference can be made about the results? Group 1 Group 2 12.2 13 12.5 12.3 13.3 12.8 12.9 13 13 13.8 12.1 13 13 13 13 13 12.1 13 13 13 12.1 13 12.8 13 13 12.6 Mean: 12.7 Mean: 13 Since the simulation shows ( many cases or free cases )? where a mean difference of ( solve for this answer ) or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was ( very possibly or very unlikely ) ?due to the random assignment of participants into groups, so the results of the study are (…The following table lists body temperatures of seven subjects at 8 AM and at 12 AM. The data are matched pairs because each pair of temperatures is measured from the same person. Using the data, it is possible to test for no difference between body temperatures at 8 AM and 12 AM by using the sign test or the Wilcoxon signed-ranks test. In what sense does the Wilcoxon signed-ranks test incorporate and use more information than the sign test? Temperature (°F) at 8 AM Temperature (°F) at 12 AM Choose the correct answer below. 98.0 97.6 97.2 98.0 97.0 98.0 98.2 97.0 98.8 97.6 98.0 97.7 98.8 97.6 O A. The sign test requires that the population is normally distributed, while the Wilcoxon signed-ranks test only requires that the population distribution is approximately symmetric. OB. The sign test uses only the signs of the differences, but the Wilcoxon signed-ranks test uses ranks that are affected by the magnitudes of the differences. O C. The sign test uses only the magnitudes of the…