Sampling Distributions Review

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•
Mathematics
•
10th - 12th Grade
•
Hard
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15 questions
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1.
FLASHCARD QUESTION
Front
What is a sampling distribution?
Back
A sampling distribution is the probability distribution of a statistic (like the sample mean) obtained from a large number of samples drawn from a specific population.
2.
FLASHCARD QUESTION
Front
What is the Central Limit Theorem?
Back
The Central Limit Theorem states that the sampling distribution of the sample mean will be approximately normally distributed if the sample size is sufficiently large, regardless of the population's distribution.
3.
FLASHCARD QUESTION
Front
What is the mean of the sampling distribution of the sample mean?
Back
The mean of the sampling distribution of the sample mean is equal to the population mean (μ).
4.
FLASHCARD QUESTION
Front
What is the standard deviation of the sampling distribution of the sample mean?
Back
The standard deviation of the sampling distribution of the sample mean is called the standard error and is calculated as σ/√n, where σ is the population standard deviation and n is the sample size.
5.
FLASHCARD QUESTION
Front
What happens to the standard error as the sample size increases?
Back
As the sample size increases, the standard error decreases, meaning the sampling distribution becomes narrower.
6.
FLASHCARD QUESTION
Front
What is the relationship between sample size and the accuracy of the sample mean?
Back
Larger sample sizes generally lead to more accurate estimates of the population mean.
7.
FLASHCARD QUESTION
Front
What is the difference between a population and a sample?
Back
A population includes all members of a specified group, while a sample is a subset of the population used to make inferences about the population.
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