BESC 3010 Exam 2 Questions with Correct Answers Latest Update 2025/2026
One reason that researchers nearly always gather data from samples of participants instead of
entire populations is because.. - Answers it can be impractical or even impossible to study
populations.
According to the Central Limit Theorem, the mean of the sampling distribution of means -
\mu_{\overline{X}}
μ
X
¯
- will equal... - Answers the mean of the original population.
If a test has a population mean of 70 and standard deviation of 6, then what is the z-score for a
sample of n = 9 scores with a mean of 76? - Answers 3
The central limit theorem says that when all possible samples of a sufficient size are taken
from a population and their means are charted, that distribution of means will be... - Answers
normally distributed.
The distribution of all possible samples of a given size (e.g., n = 54 or n = 117) are taken from a
population and their means are charted, that distribution is known as... - Answers the sampling
distribution of means.
The Central Limit Theorem states that the shape of a sampling distribution becomes closer to
what shape as the number of sample means in the distribution increases? - Answers Normal
If the population mean for a distribution is 150 and the standard deviation is 20, then what is the
z-score for a sample of 100 people with an average score of 153? - Answers 1.5
If a person were to create a sampling distribution for sample standard deviations, then the
mean of that distribution would be equal to... - Answers the standard deviation of the original
distribution.
The equation for the standard error of a sampling distribution is... - Answers
If a population has a mean of 40 and a standard deviation of 8, what would the z-score be for a
sample of 16 people with a mean of 46? - Answers 3
A sampling distribution can be calculated for... - Answers any sample statistic.
What is the standard error of a distribution if \sigma
σ
, = 20 and n = 25? - Answers 4
If a population has a mean of 60 and a standard deviation of 15, what is the z-score for a
sample of 9 people with an average of 55? - Answers -1
What is the symbol for the standard error? - Answers
As the size of samples (n) in a sampling distribution increases, the shape of that distribution
becomes more... - Answers normal
What does the symbol \mu_{\overline X}
μ
X
¯
refer to? - Answers The mean of the sampling distribution of means
What is the z-score for a sample with n = 100 and M = 103 if the population parameters are \mu
μ
=100 and \sigma
σ
=10? - Answers +3
What is the standard error for a distribution with \sigma
σ
= 40 when n = 4? - Answers 20
If a distribution of raw scores has a strong positive skew, then, given a sufficiently large n, the
mean of the sampling distribution will be equal to the _____ of the raw score distribution. -
Answers mean
One reason that researchers nearly always gather data from samples of participants instead of
populations is because.. - Answers it is easier to gather data from samples than populations.
According to the Central Limit Theorem, if a research takes sufficiently large samples (e.g., n >
30) from a bimodal distribution, then the resulting sampling distribution will be... - Answers
unimodal
The distribution of all possible sample variances (of a given sample size) is called... - Answers
the sampling distribution of variances.
One reason that researchers nearly always gather data from samples of participants instead of
entire populations is because.. - Answers it can be impractical or even impossible to study
populations.
According to the Central Limit Theorem, the mean of the sampling distribution of means -
\mu_{\overline{X}}
μ
X
¯
- will equal... - Answers the mean of the original population.
If a test has a population mean of 70 and standard deviation of 6, then what is the z-score for a
sample of n = 9 scores with a mean of 76? - Answers 3
The central limit theorem says that when all possible samples of a sufficient size are taken
from a population and their means are charted, that distribution of means will be... - Answers
normally distributed.
The distribution of all possible samples of a given size (e.g., n = 54 or n = 117) are taken from a
population and their means are charted, that distribution is known as... - Answers the sampling
distribution of means.
The Central Limit Theorem states that the shape of a sampling distribution becomes closer to
what shape as the number of sample means in the distribution increases? - Answers Normal
If the population mean for a distribution is 150 and the standard deviation is 20, then what is the
z-score for a sample of 100 people with an average score of 153? - Answers 1.5
If a person were to create a sampling distribution for sample standard deviations, then the
mean of that distribution would be equal to... - Answers the standard deviation of the original
distribution.
The equation for the standard error of a sampling distribution is... - Answers
If a population has a mean of 40 and a standard deviation of 8, what would the z-score be for a
sample of 16 people with a mean of 46? - Answers 3
A sampling distribution can be calculated for... - Answers any sample statistic.
What is the standard error of a distribution if \sigma
σ
, = 20 and n = 25? - Answers 4
If a population has a mean of 60 and a standard deviation of 15, what is the z-score for a
sample of 9 people with an average of 55? - Answers -1
What is the symbol for the standard error? - Answers
As the size of samples (n) in a sampling distribution increases, the shape of that distribution
becomes more... - Answers normal
What does the symbol \mu_{\overline X}
μ
X
¯
refer to? - Answers The mean of the sampling distribution of means
What is the z-score for a sample with n = 100 and M = 103 if the population parameters are \mu
μ
=100 and \sigma
σ
=10? - Answers +3
What is the standard error for a distribution with \sigma
σ
= 40 when n = 4? - Answers 20
If a distribution of raw scores has a strong positive skew, then, given a sufficiently large n, the
mean of the sampling distribution will be equal to the _____ of the raw score distribution. -
Answers mean
One reason that researchers nearly always gather data from samples of participants instead of
populations is because.. - Answers it is easier to gather data from samples than populations.
According to the Central Limit Theorem, if a research takes sufficiently large samples (e.g., n >
30) from a bimodal distribution, then the resulting sampling distribution will be... - Answers
unimodal
The distribution of all possible sample variances (of a given sample size) is called... - Answers
the sampling distribution of variances.
