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2. Health Canada researchers have found that on average, Canadian university students get 90 minutes of aerobic exercise per week with a standard deviation of

2. Health Canada researchers have found that on average, Canadian university students get 90 minutes of aerobic exercise per week with a standard deviation of 20 minutes. (These times are normally distributed in this population.) However, they also found that people who live in British Columbia are more conscious of diet and exercise than their fellow Canadians. As a result of this, a health psychologist believed that university students in British Columbia universities would probably exercise more than is typical in Canadian universities. At random they chose 64 students from the registrants in British Columbia universities. On average, these individuals did 93 minutes aerobic exercise per week. (Markers: Marked out of 10 points).

a. What type of study is this? (True Experiment, Quasi-Experiment, or True Correlational study). How do you know? (Markers: 1 mark total: 0.5 for decision, 0.5 mark for reason.)

b. Name the variables in the format appropriate for that type of study. (i.e., if there is an IV and DV, give the names of the IV and DV. Otherwise just name the variables.) (Markers: 2 marks) 7

c. Previous published findings have indicated that BC universities students spent more time doing aerobic exercise than other students. Based on this evidence, use a one tailed test (alpha = .05) to test the hypothesis that undergraduates from BC exercised more than others in the normal university population. For full marks, go through the all the stages of hypothesis testing as shown in class. (Markers: 4 marks. Marks are given for each stage of hypothesis testing. Be sure you include your work, including the formulas you used.)

d. Calculate the effect size for this study. Show your calculations and then indicate if it is a small, moderate, or large effect based on your findings using the rule I taught you in class, which is a less ambiguous rule than the one in the text. (Markers: 1 mark total: 0.5 for calculation, and 0.5 for decision about whether it is small, medium, or large effect).

e. Graph overall results of this study using the technique you learned in class for presenting the relationship between variables in this type of study. (Markers: 1 mark).

f. Was the researcher's prediction supported? How do you know? (Markers: 1 mark total: 0.5 mark for decision and 0.5 for reason).

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