Podcast
Questions and Answers
How can you select a sample using stratified sampling?
How can you select a sample using stratified sampling?
- Divide the population into groups based on characteristics and select members from only one group
- Combine all populations and select members randomly
- Divide the population into strata and select members from each stratum randomly (correct)
- Select members from the population without dividing into groups
What is the purpose of using stratified sampling?
What is the purpose of using stratified sampling?
- To ensure every member of the population has an equal chance of being selected (correct)
- To randomly select a sample without any grouping
- To select all members of the population
- To only select members from one specific group in the population
How is the sample size determined in stratified sampling?
How is the sample size determined in stratified sampling?
- By multiplying the total population by a fixed number
- By adding up the total population numbers
- By randomly choosing a number
- By dividing the total population by the total sample size (correct)
Why is it important to use stratified sampling instead of simple random sampling?
Why is it important to use stratified sampling instead of simple random sampling?
What should be done if the computed sample size for a stratum results in a decimal value?
What should be done if the computed sample size for a stratum results in a decimal value?
Which method is used to select members within each stratum in stratified sampling?
Which method is used to select members within each stratum in stratified sampling?
What is the main characteristic of multi-stage cluster sampling?
What is the main characteristic of multi-stage cluster sampling?
How does cluster sampling differ from stratified sampling?
How does cluster sampling differ from stratified sampling?
What is the purpose of dividing the population into clusters in cluster sampling?
What is the purpose of dividing the population into clusters in cluster sampling?
In cluster sampling, how are the clusters selected for analysis?
In cluster sampling, how are the clusters selected for analysis?
What is the key difference between simple random sampling and systematic random sampling in cluster sampling?
What is the key difference between simple random sampling and systematic random sampling in cluster sampling?
How does multi-stage cluster sampling ensure a representative sample?
How does multi-stage cluster sampling ensure a representative sample?
In systematic sampling, if you have a group of 100 individuals, and you want to select a sample of 20 individuals, what would be the interval to select every 5th individual?
In systematic sampling, if you have a group of 100 individuals, and you want to select a sample of 20 individuals, what would be the interval to select every 5th individual?
What is the first step in performing systematic sampling?
What is the first step in performing systematic sampling?
In stratified sampling, why is the population divided into subgroups or strata?
In stratified sampling, why is the population divided into subgroups or strata?
What is a key characteristic of stratified sampling compared to simple random sampling?
What is a key characteristic of stratified sampling compared to simple random sampling?
If you want to ensure representation from different age groups in a survey, which sampling method would be most appropriate?
If you want to ensure representation from different age groups in a survey, which sampling method would be most appropriate?
How does systematic sampling differ from stratified sampling?
How does systematic sampling differ from stratified sampling?
