BESC 3010 TEST 2 WITH 100% CORRECT ANSWERS
/one reason that researchers nearly always gather data from samples of participants
instead of entire populations is because.... - Answer-It can be impractical or even
impossible to study populations
/.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 with a mean of 76? - Answer-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, the distribution of means will be...
- Answer-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... - Answer-
The sampling distribution of means
/.If a distribution of raw scores has a strong negative skew, then, given sufficiently large
n, the sampling distribution of means for that distribution will.... - Answer-Be normal
/.The standard error is.... - Answer-The standard deviation of the sampling distribution
/.The distribution of all possible sample means (of a given size) is called... - Answer-The
sampling distribution of means
/.If a distribution has a mean of 100 and a standard deviation of 15, then what is the
standard error for a sample of 225 scores? - Answer-1
/.If a distribution has a mean of 30 and a standard deviation of 3, then what is the z-
score for a sample of 4 scores with a mean of 27? - Answer--2
/.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? -
Answer-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? - Answer-
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... - Answer-The standard deviation of the
original distribution.
, /.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? - Answer-3
/.A sampling distribution can be calculated for... - Answer-Any sample statistic
/.What is the standard error of a distribution if σ= 20 and n = 25? - Answer-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? - Answer--1
/.As the size of samples (n) in a sampling distribution increases, the shape of that
distribution becomes more... - Answer-Normal
/.What is the z-score for a sample with n = 100 and M = 103 if the population
parameters are μ=100 and σ=10? - Answer-+3
/.What is the standard error for a distribution with σ= 40 when n = 4? - Answer-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. - Answer-Mean
/.One reason that researchers nearly always gather data from samples of participants
instead of populations is because.. - Answer-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... - Answer-Unimodal
/.The distribution of all possible sample variances (of a given sample size) is called... -
Answer-The sampling distribution of variances.
/.The distribution of all possible sample variances - if n is sufficiently large (e.g., n > 30)
- will be... - Answer-Mesokurtic
/.The standard error of a sampling distribution is a function of two things: - Answer-The
population standard deviation and the sample size
/.As the size of samples in a sampling distribution increases (i.e., as n get bigger), then
that distribution becomes... - Answer-Narrower
/.When we talk about "estimation" in statistics, what is it that is being estimated? -
Answer-A population parameter
/one reason that researchers nearly always gather data from samples of participants
instead of entire populations is because.... - Answer-It can be impractical or even
impossible to study populations
/.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 with a mean of 76? - Answer-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, the distribution of means will be...
- Answer-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... - Answer-
The sampling distribution of means
/.If a distribution of raw scores has a strong negative skew, then, given sufficiently large
n, the sampling distribution of means for that distribution will.... - Answer-Be normal
/.The standard error is.... - Answer-The standard deviation of the sampling distribution
/.The distribution of all possible sample means (of a given size) is called... - Answer-The
sampling distribution of means
/.If a distribution has a mean of 100 and a standard deviation of 15, then what is the
standard error for a sample of 225 scores? - Answer-1
/.If a distribution has a mean of 30 and a standard deviation of 3, then what is the z-
score for a sample of 4 scores with a mean of 27? - Answer--2
/.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? -
Answer-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? - Answer-
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... - Answer-The standard deviation of the
original distribution.
, /.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? - Answer-3
/.A sampling distribution can be calculated for... - Answer-Any sample statistic
/.What is the standard error of a distribution if σ= 20 and n = 25? - Answer-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? - Answer--1
/.As the size of samples (n) in a sampling distribution increases, the shape of that
distribution becomes more... - Answer-Normal
/.What is the z-score for a sample with n = 100 and M = 103 if the population
parameters are μ=100 and σ=10? - Answer-+3
/.What is the standard error for a distribution with σ= 40 when n = 4? - Answer-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. - Answer-Mean
/.One reason that researchers nearly always gather data from samples of participants
instead of populations is because.. - Answer-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... - Answer-Unimodal
/.The distribution of all possible sample variances (of a given sample size) is called... -
Answer-The sampling distribution of variances.
/.The distribution of all possible sample variances - if n is sufficiently large (e.g., n > 30)
- will be... - Answer-Mesokurtic
/.The standard error of a sampling distribution is a function of two things: - Answer-The
population standard deviation and the sample size
/.As the size of samples in a sampling distribution increases (i.e., as n get bigger), then
that distribution becomes... - Answer-Narrower
/.When we talk about "estimation" in statistics, what is it that is being estimated? -
Answer-A population parameter
