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Q 1/20
Score 0
What is the mean of the sampling distribution of the sample means if the population mean is \( \mu \)?
30
The mean of the sampling distribution is \( 0 \)
The mean of the sampling distribution is \( \mu + 1 \)
The mean of the sampling distribution is \( \mu \)
The mean of the sampling distribution is double the population mean
Q 2/20
Score 0
If the population mean \( \mu \) is 25, what is the mean of the sampling distribution of the sample means for samples of size 50?
30
12.5
25
0
50
20 questions
Q.
What is the mean of the sampling distribution of the sample means if the population mean is \( \mu \)?
1
30 sec
Q.
If the population mean \( \mu \) is 25, what is the mean of the sampling distribution of the sample means for samples of size 50?
2
30 sec
Q.
Which of the following is true about the mean of the sampling distribution of the sample means?
3
30 sec
Q.
If a population has a mean \( \mu \) of 100, what will be the expected mean of the sampling distribution of the sample means for samples of size 30?
4
30 sec
Q.
If the population mean \( \mu \) is 50, what will be the mean of the sampling distribution of the sample means for samples of any size?
5
30 sec
Q.
If a population has a mean \( \mu \) of 75, what is the expected mean of the sampling distribution of the sample means for samples of size 40?
6
30 sec
Q.
What is the relationship between the mean of the sampling distribution of the sample means and the original population mean \( \mu \)?
7
30 sec
Q.
If you know the population mean is \( \mu = 60 \), what would be the mean of the sampling distribution of the sample means for samples of any size?
8
30 sec
Q.
For a population with mean \( \mu = 40 \), what is the mean of the sampling distribution of the sample means if we take multiple samples?
9
30 sec
Q.
If the mean of a population is \( \mu = 95 \), what is the mean of the sampling distribution of the sample means for a sample size of 25?
10
30 sec
Q.
11
30 sec
Q.
12
30 sec
Q.
The variance of the sampling distribution of the sample mean decreases as the sample size increases. Why is this the case?
13
30 sec
Q.
14
30 sec
Q.
What happens to the variance of the sampling distribution of the sample mean as the sample size approaches infinity?
15
30 sec
Q.
16
30 sec
Q.
What effect does increasing the sample size have on the variance of the sampling distribution of the sample mean, assuming the population variance remains constant?
17
30 sec
Q.
18
30 sec
Q.
19
30 sec
Q.
How does the standard error change when the sample size increases, assuming the population standard deviation remains constant?
