Podcast
Questions and Answers
What is a key characteristic of homogeneous groups in stratified sampling?
What is a key characteristic of homogeneous groups in stratified sampling?
- They are diverse with varied characteristics.
- They require a small sample size.
- They contain similar elements within each subgroup. (correct)
- They are mutually exclusive and exhaustive.
What is one disadvantage of stratified sampling?
What is one disadvantage of stratified sampling?
- It guarantees representation from each subgroup.
- It requires a larger sample size with more strata. (correct)
- It is cost-effective in identifying strata.
- It is easy to identify distinct subgroups.
Which sampling method involves dividing the population into mutually exclusive subgroups before randomly selecting some of those subgroups?
Which sampling method involves dividing the population into mutually exclusive subgroups before randomly selecting some of those subgroups?
- Random sampling
- Systematic sampling
- Stratified sampling
- Cluster sampling (correct)
In systematic sampling, what determines the interval at which elements are selected?
In systematic sampling, what determines the interval at which elements are selected?
What is a common outcome of cluster sampling within the selected subgroups?
What is a common outcome of cluster sampling within the selected subgroups?
What is an advantage of stratified sampling compared to simple random sampling?
What is an advantage of stratified sampling compared to simple random sampling?
Which procedure is used first in cluster sampling?
Which procedure is used first in cluster sampling?
What potential issue arises with systematic sampling based on the ordering of the population list?
What potential issue arises with systematic sampling based on the ordering of the population list?
What is defined as all individuals or objects that meet certain criteria for membership in a group?
What is defined as all individuals or objects that meet certain criteria for membership in a group?
Why might a researcher choose to use a sample instead of a census?
Why might a researcher choose to use a sample instead of a census?
What does a census aim to collect?
What does a census aim to collect?
What is the objective when using a sample in research?
What is the objective when using a sample in research?
What is the purpose of defining the target population in sampling procedures?
What is the purpose of defining the target population in sampling procedures?
What does the sampling error represent in the context of sampling?
What does the sampling error represent in the context of sampling?
Which of the following is an example of a population?
Which of the following is an example of a population?
Which type of sampling procedure allows for every element to have a known probability of selection?
Which type of sampling procedure allows for every element to have a known probability of selection?
What is NOT a reason to conduct a population census?
What is NOT a reason to conduct a population census?
What is a characteristic of non-probability sampling methods?
What is a characteristic of non-probability sampling methods?
In which scenario is it preferable to conduct a sample rather than a census?
In which scenario is it preferable to conduct a sample rather than a census?
Which item is an example of a sampling frame in a research study?
Which item is an example of a sampling frame in a research study?
What type of information do organizations typically gather during a census?
What type of information do organizations typically gather during a census?
What does a well-defined sample size contribute to in a research study?
What does a well-defined sample size contribute to in a research study?
How does probability sampling enhance the representativeness of the sample?
How does probability sampling enhance the representativeness of the sample?
What is a potential disadvantage of non-probability sampling methods?
What is a potential disadvantage of non-probability sampling methods?
Which probability sampling technique involves randomly selecting individuals from different predefined groups?
Which probability sampling technique involves randomly selecting individuals from different predefined groups?
What non-probability sampling method focuses on selecting participants based on their convenience?
What non-probability sampling method focuses on selecting participants based on their convenience?
In systematic sampling, what method does the researcher use to select participants?
In systematic sampling, what method does the researcher use to select participants?
Which of the following is true regarding cluster sampling?
Which of the following is true regarding cluster sampling?
Which criterion is essential for performing quota sampling?
Which criterion is essential for performing quota sampling?
What is a significant drawback of non-probability sampling techniques?
What is a significant drawback of non-probability sampling techniques?
If a researcher selects 1,300 email addresses from a complete list of 13,000 using a random computer program, which sampling technique is applied?
If a researcher selects 1,300 email addresses from a complete list of 13,000 using a random computer program, which sampling technique is applied?
When using judgement sampling, which selection principle is primarily applied?
When using judgement sampling, which selection principle is primarily applied?
What is the relationship between sample size and sampling error?
What is the relationship between sample size and sampling error?
What does the acronym SEM stand for in statistical analysis?
What does the acronym SEM stand for in statistical analysis?
Which of the following values reflects the population mean in the provided data?
Which of the following values reflects the population mean in the provided data?
What can be concluded about the average sample from n=100?
What can be concluded about the average sample from n=100?
How is the Standard Error of the Mean (SEM) calculated?
How is the Standard Error of the Mean (SEM) calculated?
What is the average of the sample when n=50 according to the statistics provided?
What is the average of the sample when n=50 according to the statistics provided?
Which statement best describes the distribution of sample statistics as more samples are drawn?
Which statement best describes the distribution of sample statistics as more samples are drawn?
In the context of the vending machine study, what does an increase in sample size imply?
In the context of the vending machine study, what does an increase in sample size imply?
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