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).
-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]
ID,Gender,Age,Class,Major,Grad Intention,GPA,Employment,Salary,Social Networking,Satisfaction,Spending,Computer,Text Messages
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