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The Dean of Students at a large university wants to know what proportion of freshmen students are happy with the academic advising the university provides.

The Dean of Students at a large university wants to know what proportion of freshmen students are happy with the academic advising the university provides. The Dean obtains a list of all freshman students who visited the Academic Advising Center during the past month and selects and collects data from a random sample of 100 students from that list.

Question 1 of 10

In this case the population of interest is:

(A) All the Freshman students who visited the Academic Advising Center during the past month

(B) All the Freshman students who are happy with the advising that the university provides.

(C) All the Freshman students at the university

(D) The 100 students who from which data were obtained.

(E) All the students at this university

Question 2 of 10

In this case, the sampling frame is:

(A) All the Freshman students who are happy with the advising that the university provides.The 100 students who from which data were obtained.

(B) All the Freshman students who visited the Academic Advising Center during the past month

(C) All the students at this university

(D) All the Freshman students at the university

Question 3 of 10

In this case, all the Freshman students who are happy with the advising that the university provides is the:

A) Sample

B) Population

C) Sampling frame

D) Sample size

E) None of the above

Question 4 of 10

Which of the following is true regarding the sample of students chosen?

A) Even though the sample is random, it is not representative of the population of interest

B) Since the sample is random, it is representative of the population of interest

Question 5 of 10

Which of the following sampling methods will likely produce a sample that is biased and not representative of the population?

A) Multistage sampling

B) Volunteer sampling

C) Stratified sampling

D) Cluster sampling

E) Simple random sampling

The Human resources (HR) department of a large national bank with 120 branches all over the country wanted to assess the job satisfaction of all the bank's employees using a sample of them.

In each of questions 6-10 a different sampling method is described and you are asked to identify it.

Question 6 of 10

The HR department chooses a random sample of 5 employees from each of the 120 bank's branches and collects data from the 600 selected employees. The sampling method in this case is:

A) Stratified sampling

B) Multistage sampling

C) Convenience Sampling

D) Simple random sampling

E) Volunteer sampling

F) Cluster sampling

Question 7 of 10

The HR department sends an email to all the bank employees with a link to job satisfaction survey and collects data from the sample of 400 employees who chose to complete the survey. The sampling method in this case is:

A) Convenience Sampling

B) Volunteer sampling

C) Multistage sampling

D) Cluster sampling

E) Simple random sampling

F) Stratified sampling

Question 8 of 10

The HR department chooses 10 of the 120 bank's branches at random and collects data from all the employees who work at these selected branches. The sampling method in this case is:

A) Volunteer sampling

B) Stratified sampling

C) Simple random sampling

D) Cluster sampling

E) Convenience Sampling

F) Multistage sampling

Question 9 of 10

The HR department collects data from the 578 of bank's employees who happen to call the HR department during the past two months. The sampling method in this case is:

A) Stratified sampling

B) Convenience Sampling

C) Simple random sampling

D) Volunteer sampling

E) Multistage sampling

F) Cluster sampling

Question 10 of 10

At random, the HR Department selects 20 of the 120 bank's branches, and from each of the selected branches selects a random sample of 15 male and 15 female employees. The sampling method in this case is:

A) Cluster sampling

B) Simple random sampling

C) Volunteer sampling

D) Convenience Sampling

E) Multistage sampling

F) Stratified sampling

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