# MM207_MidTerm_Project

. Assume that you are preparing a report on MM207 statistics students at Kaplan University to present to the Kaplan Board of Trustees. Prepare an appropriate graphical representation for each of the following variables.

a) The different majors of students taking MM207.

b) The number of hours spent on school work by students in MM207.

9. Using the range rule of thumb estimate the standard deviation for the number of credit hours students in this sample are taking and the shoe sizes of the females in the class. Then using StatCrunch compute the actual standard deviation. Compare the results.

a) Does the range rule of thumb overestimate or underestimate the standard deviation for number of credit hours?

b) Does the range rule of thumb overestimate or underestimate the standard deviation for shoe sizes of females?

c) How does the shape of the distribution impact what you conclude?

10. Using measures of center and measures of variability compare the number of hours on school work (Q11) and the number of hours watching television (Q14).

a) Which variable has greater variability? How do you know?

b) What number of hours on school work would be at the 10th percentile?

c) What number of hours watching television would be at the 90th percentile?

a) The different majors of students taking MM207.

b) The number of hours spent on school work by students in MM207.

9. Using the range rule of thumb estimate the standard deviation for the number of credit hours students in this sample are taking and the shoe sizes of the females in the class. Then using StatCrunch compute the actual standard deviation. Compare the results.

a) Does the range rule of thumb overestimate or underestimate the standard deviation for number of credit hours?

b) Does the range rule of thumb overestimate or underestimate the standard deviation for shoe sizes of females?

c) How does the shape of the distribution impact what you conclude?

10. Using measures of center and measures of variability compare the number of hours on school work (Q11) and the number of hours watching television (Q14).

a) Which variable has greater variability? How do you know?

b) What number of hours on school work would be at the 10th percentile?

c) What number of hours watching television would be at the 90th percentile?

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