The Student News Service at Clear Mountain State University (CMSU) has decided to gather data about the undergraduate students that attend CMSU. CMSU creates and distributes a survey of 14 questions and receives responses from 62 undergraduates (stored in the Survey.csv file).

Part I

• 2.1. For this data, construct the following contingency tables (Keep Gender as row variable)
• 2.1.1. Gender and Major
• 2.1.2. Gender and Grad Intention
• 2.1.3. Gender and Employment
• 2.1.4. Gender and Computer
• 2.2. Assume that the sample is a representative of the population of CMSU. Based on the data, answer the following questions:
• 2.2.1. What is the probability that a randomly selected CMSU student will be male?
• What is the probability that a randomly selected CMSU student will be female?
• 2.2.2. Find the conditional probability of different majors among the male students in CMSU.
• Find the conditional probability of different majors among the female students of CMSU.
• 2.2.3. Find the conditional probability of intent to graduate, given that the student is a male.
• Find the conditional probability of intent to graduate, given that the student is a female.
• 2.2.4. Find the conditional probability of employment status for the male students as well as for the female students.
• 2.2.5. Find the conditional probability of laptop preference among the male students as well as among the female students.
• 2.3. Based on the above probabilities, do you think that the column variable in each case is independent of Gender?
• Justify your comment in each case.

Part II

• 2.4. Note that there are three numerical (continuous) variables in the data set, Salary, Spending and Text Messages. For each of them comment whether they follow a normal distribution.
• Write note summarizing your conclusions.
• [Recall that symmetric histogram does not necessarily mean that the underlying distribution is symmetric]

Please explain using python codes