Question

Which of the following is false? The sampling distribution of the sample proportion is the distribution...

Which of the following is false?

The sampling distribution of the sample proportion is the distribution of values of the sample proportion from all possible samples of size n drawn from a population.

When a sample proportion is calculated, the population from which the sample comes is discrete.

The variance of the sample proportion is equal to the variance of a binomial random variable divided by the sample size squared.

The sampling distribution of the sample proportion is approximately normally distributed provided the population is normally distributed.

Homework Answers

Answer #1

The following statement is FALSE

The sampling distribution of the sample proportion is approximately normally distributed provided the population is normally distributed.

It is not necessary for the underlying population distribution to be normally distributed for the sampling distribution of the sample proportion to be approximately normally distributed. For a big enough sample size, the sampling distribution of the sample proportion is approximately normally distributed, using the central limit theorem.

Additionally all the other provided statements are true.

Let me know in the comments if anything is not clear. I will reply ASAP! Please do upvote if satisfied!

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Select the correct definition of a sampling distribution of a sample proportion. a. a probability distribution...
Select the correct definition of a sampling distribution of a sample proportion. a. a probability distribution of the count of a certain characteristic of interest for all possible random samples of size ?ntaken from a population b. a probability distribution of the sample proportions of a certain characteristic of interest for all possible random samples of size ?n taken from the population c. a probability distribution of a population proportion of a certain characteristic of interest for all possible random...
True or False? The sampling distribution of the sample mean of a non-normally distributed population will...
True or False? The sampling distribution of the sample mean of a non-normally distributed population will also be normally distributed as long as the sample size is greater than 10. The sampling distribution of the sample mean of a normally distributed population will not be normally distributed if sample size is less than 30.
Which of the following is true? The shape of the sampling distribution of sample proportion is...
Which of the following is true? The shape of the sampling distribution of sample proportion is always bell-shaped. As n increases, the mean of the sampling distribution of sample proportion gets closer to the population proportion. The shape of the sampling distribution of sample proportion becomes approximately normal as n gets large. The shape of the sampling distribution of sample proportion gets closer to the shape of the population distribution as n gets large.
Which of the following statement about the sampling distribution of proportion is true? Select one: a....
Which of the following statement about the sampling distribution of proportion is true? Select one: a. Its mean equals to the population proportion. b. Its standard error equals to the population standard deviation. c. It is approximately normally distributed if n ≥ 30. d. It is approximately normally distributed if the population is normally distributed.
Indicate whether the following statement is true or false. The sampling distribution of the sample mean...
Indicate whether the following statement is true or false. The sampling distribution of the sample mean (x-bar) will at least approximately be normally distributed either if X is normally distributed or if the sample size (n) is larger than 30.
Indicate whether the following statement is true or false. The sampling distribution of the sample mean...
Indicate whether the following statement is true or false. The sampling distribution of the sample mean (top enclose X) will at least approximately be normally distributed either if X is normally distributed or if the sample size (n) is larger than 30.
Why is a binomial distribution a reasonable approximation of a sampling distribution for a population proportion...
Why is a binomial distribution a reasonable approximation of a sampling distribution for a population proportion when the population is large relative to the sample size?
When we can consider the Sampling distribution of the sample means as a Normal distribution? Choose...
When we can consider the Sampling distribution of the sample means as a Normal distribution? Choose 1 response : a. If the population is Normally distributed b. If there is no information about population distribution and sample size is 24 c. If the population is not Normally distributed and sample size is 24 d. If population is not Normally distributed but sample size n≥30
1) If Pete is correct that the population proportion p= 0.30 describe the sampling distribution of...
1) If Pete is correct that the population proportion p= 0.30 describe the sampling distribution of sample proportions for simple random samples of n = 150 drawn from the population of college and university students in California. The words “describe the sampling distribution” mean that you need to specify the shape, center and spread of the sampling distribution. You should also state whether or not the conditions are met for the process you are using and show a calculation to...
In which of the following scenarios can we assume a Normal distribution for the sample mean?...
In which of the following scenarios can we assume a Normal distribution for the sample mean? a. Sample of size 2 comes from a population with normal distribution (known variance) b. Sample of size 10 comes from a population with normal distribution (unknown variance) c. Sample of size 300 comes from a population with some unknown distribution d. Sample of size 15 comes from a population with some unknown distribution