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15 questions
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- Multiple ChoicePlease save your changes before editing any questions.
A probability distribution that describes the probability for each mean of all the samples with the same sample size n is called ____________.
Frequency Distribution
Normal Distribution
Sampling Distribution
Non-probability
- Multiple ChoicePlease save your changes before editing any questions.
A population consists of values 2, 4, 6, and 8. What is the population mean?
4.0
4.5
5.0
5.5
- Multiple ChoicePlease save your changes before editing any questions.
A sample consists of values 5, 10, and 15. What is the sample mean?
10
11
12
13
- Multiple ChoicePlease save your changes before editing any questions.
If the population standard deviation of a data set is 5, what is the population variance?
10
15
20
25
- Multiple ChoicePlease save your changes before editing any questions.
If the population variance of a set of data is 16, what is the population standard deviation?
3.5
4.0
4.5
5.0
- Multiple ChoicePlease save your changes before editing any questions.
If a population has a mean of 5.6, what is the mean of the sampling distribution of its means?
4.6
5.6
6.6
7.6
- Multiple ChoicePlease save your changes before editing any questions.
If a population has a mean of 25, what is the mean of the sampling distributions of its means?
20
25
30
35
- Multiple ChoicePlease save your changes before editing any questions.
If the mean of the sampling distribution of the means is 12.4, what is the mean of the population?
12.0
12.2
12.4
12.6
- Multiple ChoicePlease save your changes before editing any questions.
Which of the following states that, “If samples of size n, where n is sufficiently then the sampling distribution of sample means approximates a normal distribution”?
Probability Distribution
Normal Distribution
Central Limit Theorem
Random Variable
- Multiple ChoicePlease save your changes before editing any questions.
If a population has a variance of 6.2, what is the variance of the sampling distribution if the mean is n=2?
3.1
3.2
3.3
3.4
- Multiple ChoicePlease save your changes before editing any questions.
Which of the following statements is correct?
The mean of the sampling distribution of the means is greater than the population mean.
The mean of the sampling distribution of the sample means is less than the population mean.
The means of the samples drawn from a population are always equal to the population mean.
The means of the samples drawn from a population may be equal, less than, or greater than the population mean.
- Multiple ChoicePlease save your changes before editing any questions.
A population consists of values 3, 6, 9, and 12. What is the population mean?
5.5
6.5
7.5
8.5
- Multiple ChoicePlease save your changes before editing any questions.
A sample consists of values 4, 8, 12, and 16. What is the sample mean?
10
11
12
13
- Multiple ChoicePlease save your changes before editing any questions.
If the population standard deviation of a data set is 4, what is the population variance?
9
12
16
25
- Multiple ChoicePlease save your changes before editing any questions.
If the population variance of a set of data is 25, what is the population standard deviation?
5.0
5.5
6.0
6.5