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)Report the p-value, 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.

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

c)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 in the pdf file). Report the mean of the transformed variable for Male and Female.

d): Perform an appropriate t-test using the transformed variable to address the investigator's research question regarding gender. Report the p-value.

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