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What is meant by the...

What is meant by the sampling distribution of the sample proportion?

The distribution of possible samples that we could take, each of the same size.

The distribution of the sample values from taking one very large sample.

The sample proportion that would be likely to occur from a random sample providing the sample is large.

The sample proportion that would be likely to occur from a random sample of any size.

The distribution of possible values of the sample proportion, when we take repeated samples each of the same size, and calculate the proportion from each one.

A random sample of size 100 is drawn from a population with mean 48 and variance 25. What is the variance of the sample mean?

2

0.25

20

4

0.4

We know that 20% of students will fail a given assessment. We take a random sample of 36 students. Calculate the standard deviation of the sample proportion , the proportion who fail.

0.4

0.0111

0.16

0.067

0.0044

Which of the following is the Central Limit Theorem?

For a symmetric distribution, the measure of central tendency can be either the mean, median, or mode.

The sample mean taken from a Normal population is Normal.

Items in a random sample are independent.

For large samples, the sample mean is approximately Normal, regardless of the shape of the parent population.

The mean of the sample means is the population mean.

When we check the conditions for the sample proportion to be normal, one of the things we check is the success/failure condition. What does this say?

The number of success and the number of failures must each exceed 10.

The number of success and the number of failures must add to 10.

The number of success OR the number of failures must exceed 10.

The number of success and the number of failures don't matter providing we have a sample of at least 30.

The number of success (np) must be below 10.

The distribution of possible samples that we could take, each of the same size.

The distribution of the sample values from taking one very large sample.

The sample proportion that would be likely to occur from a random sample providing the sample is large.

The sample proportion that would be likely to occur from a random sample of any size.

The distribution of possible values of the sample proportion, when we take repeated samples each of the same size, and calculate the proportion from each one.

A random sample of size 100 is drawn from a population with mean 48 and variance 25. What is the variance of the sample mean?

2

0.25

20

4

0.4

We know that 20% of students will fail a given assessment. We take a random sample of 36 students. Calculate the standard deviation of the sample proportion , the proportion who fail.

0.4

0.0111

0.16

0.067

0.0044

Which of the following is the Central Limit Theorem?

For a symmetric distribution, the measure of central tendency can be either the mean, median, or mode.

The sample mean taken from a Normal population is Normal.

Items in a random sample are independent.

For large samples, the sample mean is approximately Normal, regardless of the shape of the parent population.

The mean of the sample means is the population mean.

When we check the conditions for the sample proportion to be normal, one of the things we check is the success/failure condition. What does this say?

The number of success and the number of failures must each exceed 10.

The number of success and the number of failures must add to 10.

The number of success OR the number of failures must exceed 10.

The number of success and the number of failures don't matter providing we have a sample of at least 30.

The number of success (np) must be below 10.

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