1. Using the MM207 Student Data Set:
What is the correlation between student cumulative GPA and the number of hours spent on school work each week? Be sure to include the computations or StatCrunch output to support your answer. The answer is R= 0.30790085. StatCrunch output:
Correlation between “Q10 What is your cumulative Grade Point Average at Kaplan University?” and “Q11 How many hours do you spend on school work each week?” is: 0.30790085
Is the correlation what you expected? No, I expected the correlation to be higher than what was computed. c)
Does the number of hours spent on school work have a causal relationship with the GPA? Yes, there is a causal relationship with the GPA. With more hours spent on school work, the result should be a higher GPA. This would be the same if there was less hours spent on school work, the result would be a lower GPA. d)
What would be the predicted GPA for a student who spends 16 hours per week on school work? Be sure to include the computations or StatCrunch output to support your prediction.
2. Using the MM207 Student Data Set:
Select a continuous variable that you suspect would not follow a normal distribution. b)
Create a graph for the variable you have selected to show its distribution. c)
Explain why these data might not be normally distributed. d)
Select a second continuous variable that you believe would approximate a normal distribution e)
Create a graph to show its distribution.
Explain why these data might be normally distributed.
3. Jonathan is a 42 year old male student and Mary is a 37 year old female student thinking about taking this class. Based on their relative position, which student would be farther away from the average age of their gender group based on this sample of MM207 students?
4. If you were to randomly select a student from the set of students who have completed the survey, what is the probability that you would select a male? Explain your answer.
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