Answer:
Correct option: (C)
Explanation:
The (1 - α)% confidence interval for population parameter implies that there is a (1 - α) probability that the true value of the parameter is included in the interval.
Or, the (1 - α)% confidence interval for the parameter implies that there is (1 - α)% confidence or certainty that the true parameter value is contained in the interval.
Or, if n such (1 - α)% confidence intervals are constructed then (1 - α)% of these interval will consist of the true parameter value.
It is provided that each of the 250 people taking statistics randomly takes a sample of 40 of these heights and constructs a 95% confidence interval for mean height of all students at the college.
So there sill be n = 250, 95% confidence intervals for mean height of all students at the college.
Then 95% of these 250 confidence intervals for mean will consist of the true mean height of the college students.
Thus, the correct option is (C).