1.

Using the MM207 Student Data Set: a) 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. My answer :

0.27817234

(from StatCrunch):

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: 0.27817234

b) Is the correlation what you expected? My answer: No. I expected the correlation to be much higher because the more hours you study should equate to a much higher GPA – in theory that is.

c) Does the number of hours spent on school work have a

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Columns: Gender Cell format Count (Row percent) (Column percent)

MM207 Final Project

Female Conservative 27 (67.5%) (20.3%) Male Add 13 (32.5%) (37.14%) Total 40 (100.00%) (23.81%)

Liberal

33 Subtract 7 Total liberals 40 (82.5%) (17.5%) (100.00%) (24.81%) (20%) (23.81%) 73 (82.95%) (54.89%) Add 15 (17.05%) (42.86%) 88 (100.00%) (52.38%) 168 total (100.00%) (100.00%)

Moderate

Total

133 35 (79.17%) (20.83%) (100.00%) (100.00%)

6.

Facebook reports that the average number of Facebook friends worldwide is 175.5 with a standard deviation of 90.57. If you were to take a sample of 25 students, what is the probability that the mean number Facebook friends in the sample will be 190 friends or more? My answer: 0.2119

My mean is 175.5 My standard deviation is=90.57 Sample=25 So the probability is Formula to be used: P(X>190)=P((X-mean)/s sqrt of my sample is = 5 (190-175.5) / 90.57/5) 14.5 / 18.114 calculator says 0.8004858120790548746825659710721 I check the z-table and I see -.8 under the z of 0.00 correlates to .2119 =0.2119

7. Select a random sample of 30 student responses to question statcruch #6

"How many credit hours

are you taking this term?" Using the information from this sample, and assuming that our data set