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female texts underclassman 0 1 0 1 2 0 0 2 0 0 3 0 1 5 0 0 5 0 1 5 1 0

female texts underclassman
0 1 0
1 2 0
0 2 0
0 3 0
1 5 0
0 5 0
1 5 1
0 5 0
1 5 0
1 5 0
0 5 1
0 5 0
0 5 1
0 7 1
0 10 1
0 10 0
0 10 1
1 10 1
1 10 0
0 10 0
1 10 1
0 10 0
0 10 0
1 10 0
0 10 0
0 10 0
0 12 0
1 13 0
0 15 0
1 15 0
1 15 1
1 15 0
0 15 1
1 15 0
0 15 0
0 20 0
1 20 1
0 20 0
0 20 1
0 20 1
0 20 1
1 20 0
1 20 0
0 20 1
0 20 0
1 20 0
1 20 0
0 20 0
0 20 1
0 25 1
1 25 1
0 25 0
1 30 0
0 30 0
0 30 0
1 30 0
0 30 0
0 30 1
0 30 1
0 30 1
1 35 1
1 40 0
0 40 0
1 45 1
0 50 1
0 50 1
0 50 1
0 50 0
1 50 1
1 50 0
1 50 1
0 50 1
0 50 0
0 50 0
0 50 1
0 50 0
1 50 0
0 50 0
0 50 0
1 52 0
0 60 1
1 70 1
1 100 1
0 100 0
1 100 1
0 100 1
0 100 1
0 100 1
1 150 1
1 150 0
0 200 1
0 200 1
0 300 1
1 350 0

The dataset "textmessages.csv" contains variables measured from a survey conducted of Harvard students enrolled in a recent Statistics class:

  • female: an indicator variable which is 1 for females and 0 for males;
  • underclassman: an indicator variable which takes on the value 1 for a freshman or a sophomore, or 0 for a junior, senior, or a grad student; and
  • texts: a variable that measures the number of text messages the respondent says he or she sends in a typical day.

A researcher wants to investigate whether male students send less text messages than female students. All of the below computations must be conducted in R-studio.

a) What is your conclusion about the test used to compare 2 population means (Reject/not reject)?

b) Graphically investigate the assumption of Normality in the "response" variable to compare these groups (attach graphs in pdf file). Report the Anderson-Darling normality "A" test for Male. Report the Anderson-Darling normality "A" test for Female.

c) What is your conclusion about the normality test for both genders (Reject/not reject)?

d)Perform an appropriate transformation to make the Normality assumption more valid. Be sure to include important graphs comparing these 2 groups (graphs to be attached). Report the mean of the transformed variable for Male____________ and Female_______________.

e)Explain briefly your conclusion. Include the effect of gender after transformation on the response variable (if any).

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