CNSL 503 - Module 3
Study online at https://quizlet.com/_gzs9lj
1. What is the difference A statistic is a descriptive statistical result that is generated from a sample,
between a statistic and whereas a parameter is a statistical result from a population.
a parameter?
2. What is the difference Cluster sampling involves dividing a population into random groups
between cluster sam- called clusters, whereas stratified sampling involves identifying strata
pling and stratified sam- within a population and recruiting proportional numbers from random
pling? samples of each stratum.
3. What is the difference Sampling error is any deviation between a statistic and a parameter that
between sampling and occurs due to chance. Nonsampling errors usually result from problems
nonsampling error? with data collection. Examples of sources of nonsampling error include
measurement bias, response bias, and selection bias.
4. Why is it important To conduct data collection, analysis, and interpretation ethically is of
that researchers prac- the utmost importance because it is the responsibility of researchers to
tice ethical sampling ensure that all information that they present to other researchers and
techniques and data col- to the public is accurate. Failing to implement measures to minimize
lection? bias and error can cause misleading results and false information to
propagate.
5. Distribution of sample Refers to a sample statistic distribution that contains the frequencies of
means the means of all possible samples of a given size from a population
6. Which of the following The mean of the distribution of sample means is equal to the population
statements is TRUE re- mean
garding a distribution of
sample means?
7. What theory identifies Central limit theorem
several key characteris-
tics of a distribution of
sample means?
1/4
Study online at https://quizlet.com/_gzs9lj
1. What is the difference A statistic is a descriptive statistical result that is generated from a sample,
between a statistic and whereas a parameter is a statistical result from a population.
a parameter?
2. What is the difference Cluster sampling involves dividing a population into random groups
between cluster sam- called clusters, whereas stratified sampling involves identifying strata
pling and stratified sam- within a population and recruiting proportional numbers from random
pling? samples of each stratum.
3. What is the difference Sampling error is any deviation between a statistic and a parameter that
between sampling and occurs due to chance. Nonsampling errors usually result from problems
nonsampling error? with data collection. Examples of sources of nonsampling error include
measurement bias, response bias, and selection bias.
4. Why is it important To conduct data collection, analysis, and interpretation ethically is of
that researchers prac- the utmost importance because it is the responsibility of researchers to
tice ethical sampling ensure that all information that they present to other researchers and
techniques and data col- to the public is accurate. Failing to implement measures to minimize
lection? bias and error can cause misleading results and false information to
propagate.
5. Distribution of sample Refers to a sample statistic distribution that contains the frequencies of
means the means of all possible samples of a given size from a population
6. Which of the following The mean of the distribution of sample means is equal to the population
statements is TRUE re- mean
garding a distribution of
sample means?
7. What theory identifies Central limit theorem
several key characteris-
tics of a distribution of
sample means?
1/4
