What is a sampling distribution? A sampling distribution is a probability distribution of a based on all posible of from Give examples.

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(b) What is a sample statistic?
A sample statistic is the complete set of measurements from every individual of interest.
O A sample statistic is a subset of the complete set of measurements from every individual of interest.
A sample statistic is a numerical descriptive measure of the complete set of measurements from every individual of interest.
O A sample statistic is a numerical descriptive measure of a subset of the complete set of measurements from every individual of interest.
What is a sampling distribution?
A sampling distribution is a probability distribution of a
based on all possible
of
from
Give examples.
(c) Give a careful and complete statement of the central limit theorem.
Given a probability distribution of x values where n =
sample size, u
= the mean of the x distribution, and o = the standard deviation of the x distribution. Even if the x distribution is
not normal, if the sample sizen is sufficiently large (n
30 in most cases), the central limit theorem tells us that the x distribution is approximately
the mean of the x
distribution is H
and the standard deviation of the x distribution is o, =
Transcribed Image Text:(b) What is a sample statistic? A sample statistic is the complete set of measurements from every individual of interest. O A sample statistic is a subset of the complete set of measurements from every individual of interest. A sample statistic is a numerical descriptive measure of the complete set of measurements from every individual of interest. O A sample statistic is a numerical descriptive measure of a subset of the complete set of measurements from every individual of interest. What is a sampling distribution? A sampling distribution is a probability distribution of a based on all possible of from Give examples. (c) Give a careful and complete statement of the central limit theorem. Given a probability distribution of x values where n = sample size, u = the mean of the x distribution, and o = the standard deviation of the x distribution. Even if the x distribution is not normal, if the sample sizen is sufficiently large (n 30 in most cases), the central limit theorem tells us that the x distribution is approximately the mean of the x distribution is H and the standard deviation of the x distribution is o, =
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