1|Page
CNSL 503 MODULE 3 PRACTICE EXAM||
QUESTIONS AND 100% CORRECT ANSWERS
ALREADY GRADED A+|| LATEST AND
COMPLETE UPDATE WITH VERIFIED
SOLUTIONS GUARANTEED PASS!!!
What is the difference between a statistic and a parameter?
A statistic is a descriptive statistical result that is generated from a sample, whereas
a parameter is a statistical result from a population.
What is the difference between cluster sampling and stratified sampling?
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.
What is the difference between sampling and nonsampling error?
Sampling error is any deviation between a statistic and a parameter that occurs due
to chance. Nonsampling errors usually result from problems with data collection.
Examples of sources of nonsampling error include measurement bias, response
bias, and selection bias.
, 2|Page
Why is it important that researchers practice ethical sampling techniques and data
collection?
To conduct data collection, analysis, and interpretation ethically is of the utmost
importance because it is the responsibility of researchers to ensure that all
information that they present to other researchers and to the public is accurate.
Failing to implement measures to minimize bias and error can cause misleading
results and false information to propagate.
Distribution of sample means
Refers to a sample statistic distribution that contains the frequencies of the means
of all possible samples of a given size from a population
Which of the following statements is TRUE regarding a distribution of sample
means?
The mean of the distribution of sample means is equal to the population mean
What theory identifies several key characteristics of a distribution of sample
means?
Central limit theorem
Sample size is considered large if it contains at least ____ members.
30
CNSL 503 MODULE 3 PRACTICE EXAM||
QUESTIONS AND 100% CORRECT ANSWERS
ALREADY GRADED A+|| LATEST AND
COMPLETE UPDATE WITH VERIFIED
SOLUTIONS GUARANTEED PASS!!!
What is the difference between a statistic and a parameter?
A statistic is a descriptive statistical result that is generated from a sample, whereas
a parameter is a statistical result from a population.
What is the difference between cluster sampling and stratified sampling?
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.
What is the difference between sampling and nonsampling error?
Sampling error is any deviation between a statistic and a parameter that occurs due
to chance. Nonsampling errors usually result from problems with data collection.
Examples of sources of nonsampling error include measurement bias, response
bias, and selection bias.
, 2|Page
Why is it important that researchers practice ethical sampling techniques and data
collection?
To conduct data collection, analysis, and interpretation ethically is of the utmost
importance because it is the responsibility of researchers to ensure that all
information that they present to other researchers and to the public is accurate.
Failing to implement measures to minimize bias and error can cause misleading
results and false information to propagate.
Distribution of sample means
Refers to a sample statistic distribution that contains the frequencies of the means
of all possible samples of a given size from a population
Which of the following statements is TRUE regarding a distribution of sample
means?
The mean of the distribution of sample means is equal to the population mean
What theory identifies several key characteristics of a distribution of sample
means?
Central limit theorem
Sample size is considered large if it contains at least ____ members.
30
