CNSL 503 Module 3 Problem Set | Questions and Answers Latest Updated (Graded
A+)- Portage Learning
Due No due date
Points 5
Questions 28
Time Limit None
Attempt History
Attempt Time Score
LATEST Attempt 1 63 minutes 5 out of 5
Score for this quiz: 5 out of 5
Submitted Dec 5 at 3:12am
This attempt took 63 minutes.
Question 1
Not yet graded / 0 pts
What is the difference between a statistic and a parameter?
Your Answer:
A statistic is a numerical value that describes a sample. A parameter is a numerical value that describes
a population.
A statistic is a descriptive statistical result that is generated from a sample, whereas a parameter
is a statistical result from a population.
Question 2
pts
Which of the following statements is NOT true regarding a representative sample?
A representative sample’s members generally have similar characteristics to those of the population.
Correct!
The results from a representative sample favor particular results.
The results from a representative sample accurately reflect population parameters.
Question 3
pts
Which type of sampling involves a rule being established for how sample members will be selected?
Convenience sampling
Simple random sampling
1/8
, Correct!
Systematic sampling
Stratified sampling
Question 4
pts
Which type of sampling frequently does not result in a representative sample?
Correct!
Convenience sampling
Cluster sampling
Systematic sampling
Stratified sampling
Question 5
Not yet graded / 0 pts
What is the difference between cluster sampling and stratified sampling?
Your Answer:
Cluster sampling involves dividing a population into subgroups known as clusters and then randomly
selecting several groups for the study. Stratified sampling is a type of random sampling used when a
population can be divided into subgroups called strata.
Cluster sampling involves dividing a population into random groups called clusters, whereas
stratified sampling involves identifying strata within a population and recruiting proportional
numbers from random samples of each stratum.
Question 6
pts
Which of the following is a disadvantage of simple random sampling?
Each member of the population has an equal chance of being selected.
It is the simplest method for gathering a sample from a population.
Selection of each member of the sample is independent of selection of all other members.
Correct!
It is most practical for small populations.
Question 7
Not yet graded / 0 pts
What is the difference between sampling and nonsampling error?
Your Answer:
2/8
A+)- Portage Learning
Due No due date
Points 5
Questions 28
Time Limit None
Attempt History
Attempt Time Score
LATEST Attempt 1 63 minutes 5 out of 5
Score for this quiz: 5 out of 5
Submitted Dec 5 at 3:12am
This attempt took 63 minutes.
Question 1
Not yet graded / 0 pts
What is the difference between a statistic and a parameter?
Your Answer:
A statistic is a numerical value that describes a sample. A parameter is a numerical value that describes
a population.
A statistic is a descriptive statistical result that is generated from a sample, whereas a parameter
is a statistical result from a population.
Question 2
pts
Which of the following statements is NOT true regarding a representative sample?
A representative sample’s members generally have similar characteristics to those of the population.
Correct!
The results from a representative sample favor particular results.
The results from a representative sample accurately reflect population parameters.
Question 3
pts
Which type of sampling involves a rule being established for how sample members will be selected?
Convenience sampling
Simple random sampling
1/8
, Correct!
Systematic sampling
Stratified sampling
Question 4
pts
Which type of sampling frequently does not result in a representative sample?
Correct!
Convenience sampling
Cluster sampling
Systematic sampling
Stratified sampling
Question 5
Not yet graded / 0 pts
What is the difference between cluster sampling and stratified sampling?
Your Answer:
Cluster sampling involves dividing a population into subgroups known as clusters and then randomly
selecting several groups for the study. Stratified sampling is a type of random sampling used when a
population can be divided into subgroups called strata.
Cluster sampling involves dividing a population into random groups called clusters, whereas
stratified sampling involves identifying strata within a population and recruiting proportional
numbers from random samples of each stratum.
Question 6
pts
Which of the following is a disadvantage of simple random sampling?
Each member of the population has an equal chance of being selected.
It is the simplest method for gathering a sample from a population.
Selection of each member of the sample is independent of selection of all other members.
Correct!
It is most practical for small populations.
Question 7
Not yet graded / 0 pts
What is the difference between sampling and nonsampling error?
Your Answer:
2/8
