MGT600 UNIT 2 INTELLIPATH
Sampling
Questions
Standard deviation is considered a characteristic of a population.
What is the confidence level for a t statistic for 1.645?
95%
99%
93%
90%
How does restricted sampling affect the research effort?
Generates less information for researchers about population
Does not allow for a systematic approach to data gathering
Can increase the ability of the sample to offer more information
Can make data gathering more efficient
Allows researchers to use double sampling
Allows for cluster sampling
Makes access to subjects limited and less precise
Which of the following sampling is used when differentiated information is
needed regarding various strata within the population?
Cluster sampling
Area sampling
Stratified random sampling
Systematic sampling
Which of the following is an implication of the true population mean?
There is little or no variability in the samples.
Multiple samples have been collected.
Sampling has been done with precision.
Multiple calculated means fall within a reasonable range,
It is calculated as the population mode.
It is not a true statistical concept.
Which of the following is a true statement?
Subject is a single member of the sample
Sample is a subset of the population
Element is a single of member of the sample
Population is a subset of sample
, Subject is a single member of the population
What is the difference between a sample and a population?
Population and sample are interchangeable terms.
Samples are often found outside the research population.
A subject is a single member of a sample.
A sample is a subset of the population.
An element is a single member of the population.
The populations refers to the entire group under consideration for the study.
A subject is a single member of a population.
For what confidence level is the t statistic 2.576?
93%
90%
99%
95%
Event is not an important definition related to a sample.
Which of the following is a single member?
Sampling unit
Population
Element
Subject
Sample
Which of the following is a difference between a probability sample and a
nonprobability sample?
Precision is important, but nonprobability requires higher precision in data analysis.
Doubling sampling and stratified sampling are examples of nonprobability sampling designs.
Systematic, cluster, and area are all examples of probability designs.
Probability samples can be restricted or unrestricted in nature.
Elements of a nonprobability sampling do not have an associated probability attached.
The only difference is found in the type of data being collected.
The process of selecting a sufficient number of right elements from the
population is referred to as _________.
choosing
population
subject
sampling
Taking a sample
Which of the following is used to determine the sample size? (Choose 2)
Determining the elements
Sampling
Questions
Standard deviation is considered a characteristic of a population.
What is the confidence level for a t statistic for 1.645?
95%
99%
93%
90%
How does restricted sampling affect the research effort?
Generates less information for researchers about population
Does not allow for a systematic approach to data gathering
Can increase the ability of the sample to offer more information
Can make data gathering more efficient
Allows researchers to use double sampling
Allows for cluster sampling
Makes access to subjects limited and less precise
Which of the following sampling is used when differentiated information is
needed regarding various strata within the population?
Cluster sampling
Area sampling
Stratified random sampling
Systematic sampling
Which of the following is an implication of the true population mean?
There is little or no variability in the samples.
Multiple samples have been collected.
Sampling has been done with precision.
Multiple calculated means fall within a reasonable range,
It is calculated as the population mode.
It is not a true statistical concept.
Which of the following is a true statement?
Subject is a single member of the sample
Sample is a subset of the population
Element is a single of member of the sample
Population is a subset of sample
, Subject is a single member of the population
What is the difference between a sample and a population?
Population and sample are interchangeable terms.
Samples are often found outside the research population.
A subject is a single member of a sample.
A sample is a subset of the population.
An element is a single member of the population.
The populations refers to the entire group under consideration for the study.
A subject is a single member of a population.
For what confidence level is the t statistic 2.576?
93%
90%
99%
95%
Event is not an important definition related to a sample.
Which of the following is a single member?
Sampling unit
Population
Element
Subject
Sample
Which of the following is a difference between a probability sample and a
nonprobability sample?
Precision is important, but nonprobability requires higher precision in data analysis.
Doubling sampling and stratified sampling are examples of nonprobability sampling designs.
Systematic, cluster, and area are all examples of probability designs.
Probability samples can be restricted or unrestricted in nature.
Elements of a nonprobability sampling do not have an associated probability attached.
The only difference is found in the type of data being collected.
The process of selecting a sufficient number of right elements from the
population is referred to as _________.
choosing
population
subject
sampling
Taking a sample
Which of the following is used to determine the sample size? (Choose 2)
Determining the elements
