Question

To find the sampling distribution of x bar, we need to:

Group of answer choices

Compute the mean of the standard error

Compute the mean of the proportion

Collect many samples, then find the mean of each sample

Collect many samples, then find the mean of the proportion

To use the Central Limit Theorem:

Group of answer choices

We need to know the type of distribution the underlying population follows

We do not need to know the type of distribution the underlying population follows

We need the underlying distribution to follow a normal distribution

We need the underlying distribution to follow a centrally limited distribution

A sample size is considered large if:

Group of answer choices

It is 10 or more

It is 30 or more

It is 50 or more

It is 100 or more

Answer 1

1)To find the sampling distribution of x bar, we need to:

- Collect many samples, then find the mean of each sample

( As to find the sampling distribution of x bar we first find the mean of a large number of sample)

2)To use the Central Limit Theorem:

-We do not need to know the type of distribution the underlying population follows

( Because The central limit theorem says that doesn't matter what the distribution of the underlying poplation follows as the sample size increases the sampling distribution of the mean follows normal distribution)

3)A sample size is considered large if:

-It is 30 or more