Problem 1:

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 the below computations must be conducted in R-studio. T

6. From Problem 1: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.

7. From Problem 1:Report the Anderson-Darling normality "A" test for Female.

8. From Problem 1: What is your conclusion about the normality test for both genders (Reject/not reject)

1. From Problem 1: 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.

9. From Problem 1: Performan appropriate t-test using the transformed variable to address the investigator's research question regarding gender. Report the p-value.

10. From Problem 1:Explain briefly your conclusion. Include the effect of gender after transformation on the response variable (if any).

https://drive.google.com/file/d/12t-Mdz9X3snBfAntFqMen5ZLQhpH3Q94/view?usp=sharing