If the Central Limit Theorem applies, we can infer that:

In a particular library, there is a sign in the elevator that indicates a limit of persons and a weight limit of . Assume an approximately normal distribution, that the average weight of students, faculty, and staff on campus is , and the standard deviation is .

If a random sample of people is taken, what is the standard deviation of their weights?

Let us suppose we have population data where the data are distributed Poisson

(see the figure for an example of a Poisson random variable).

Which distribution increasingly approximates the sample mean as the sample size increases to infinity?

In a particular library, there is a sign in the elevator that indicates a limit of persons and a weight limit of . Assume an approximately normal distribution, that the average weight of students, faculty, and staff on campus is , and the standard deviation is .

If a random sample of people is taken, what is the standard deviation of their weights?

Cat owners spend an average of $40 per month on their pets, with a standard deviation of $5.

What is the probability that a randomly selected pet owner spends less than a month on their pet?

If the Central Limit Theorem applies, we can infer that:

Let us suppose we have population data where the data are distributed Poisson

(see the figure for an example of a Poisson random variable).

Which distribution increasingly approximates the sample mean as the sample size increases to infinity?

Cat owners spend an average of $40 per month on their pets, with a standard deviation of $5.

What is the probability that a randomly selected pet owner spends less than a month on their pet?

The standard deviation of a sampling distribution is called:

The standard deviation of a sampling distribution is called: