Answer :
The statements that apply to the given random sample situation are:
(A) Despite the idea that the sample must be random, we are unsure of this.
(C) It is underreported how many pupils don't drive to school.
(D) n(1p) is not greater than 10.
What is a Simple random sample?
A simple random sample, also known as an SRS, is a smaller group of individuals (also known as a sample) chosen randomly and with equal probability from a larger population.
This technique involves picking a sample at random.
The probability of being chosen from any subset of k persons in SRS is the same as that of being chosen from any other subset of k people.
A simple random sample is an objective sampling approach.
A basic sampling method that can be used in conjunction with other, more advanced sampling techniques is simple random sampling.
So, statements that apply in the given situation are:
- We don't know if the sample is random, despite the fact that it must be.
- The number of students who don't drive to school is undercounted.
- n(1−^p) does not exceed 10.
Therefore, the statements that apply to the given random sample situation are:
(A) Despite the idea that the sample must be random, we are unsure of this.
(C) It is underreported how many pupils don't drive to school.
(D) n(1p) is not greater than 10.
Know more about a Simple random sample here:
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Correct question:
The administration at GSU wants to estimate the number of parking spaces they will need next year. They survey 80 students; 75 of the students in the sample drive to campus by themselves each day. Which of the following is a reason the administration should not calculate a confidence interval for the proportion of all students who drive to campus? Check all that apply.
a. The sample needs to be random but we don’t know if it is.
b. The actual count of drivers is too small.
c. The actual count of those who does not drive to campus is too small.
d. n ^ p is not greater than 10. n ( 1 − ^ p ) is not greater than 10.
