Problem 1: USE RSTUDIO present code and results

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 spends 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

Report the mean of the number of text messages sent by male students and by female students.

1. From Problem 1:DefineGroup 1 as Males,Group 2 as Females(and use Group1 first, and Group2 next for the hypotheses, make sure you follow this order).

1. Perform a test to compare the variances in text messages between females and males. Report the p-value that you obtained

2. From Problem 1: What is your conclusion about the test of equal variances (Reject/not reject)

3. From Problem 1:Perform an appropriate t-test to address the investigator's scientific question (use the data in their original scale). Is this an (upper/lower/two) tail test

4. From Problem 1:Report the p-value

5. From Problem 1: What is your conclusion about the test used to compare2 population means (Reject/not reject)

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