Podcast
Questions and Answers
What sampling method involves writing the names of students on slips of paper and selecting them from a box?
What sampling method involves writing the names of students on slips of paper and selecting them from a box?
- Stratified random sampling
- Convenience sampling
- Cluster sampling
- Simple random sampling (correct)
Which method involves generating random numbers from a table to select a sample?
Which method involves generating random numbers from a table to select a sample?
- Quota sampling
- Convenience sampling
- Using random numbers from a table (correct)
- Cluster sampling
What is the purpose of stratified random sampling?
What is the purpose of stratified random sampling?
- To divide the population into strata (correct)
- To select elements using a random process
- To select elements based on proximity
- To select elements based on convenience
How is the stratified random sampling different from simple random sampling?
How is the stratified random sampling different from simple random sampling?
Which method ensures that each group within a population is represented in the sample?
Which method ensures that each group within a population is represented in the sample?
What is the critical characteristic required for using stratified random sampling?
What is the critical characteristic required for using stratified random sampling?
What is the main misconception about sample size and population size?
What is the main misconception about sample size and population size?
What are the main criteria to consider in determining sample size?
What are the main criteria to consider in determining sample size?
Why is it suggested to have a dialogue with experienced individuals when making sampling decisions?
Why is it suggested to have a dialogue with experienced individuals when making sampling decisions?
What is the outcome of adopting pre-packaged solutions without thought?
What is the outcome of adopting pre-packaged solutions without thought?
What should the final decision on sample size be based on?
What should the final decision on sample size be based on?
Why should you take comfort in knowing your solution may be less than perfect?
Why should you take comfort in knowing your solution may be less than perfect?
What is the main characteristic of snowball sampling?
What is the main characteristic of snowball sampling?
Which sampling method relies more on networking?
Which sampling method relies more on networking?
What is the key aspect of probability sampling?
What is the key aspect of probability sampling?
Which type of random sampling involves not replacing sampling units after each draw?
Which type of random sampling involves not replacing sampling units after each draw?
What condition is essential for simple random sampling (SRS) to work effectively?
What condition is essential for simple random sampling (SRS) to work effectively?
Which sampling method involves starting with a small number of units and expanding through networking until the required sample size is reached?
Which sampling method involves starting with a small number of units and expanding through networking until the required sample size is reached?
What is the purpose of stratified random sampling?
What is the purpose of stratified random sampling?
In stratified random sampling, what does equal allocation refer to?
In stratified random sampling, what does equal allocation refer to?
What is the sampling interval in systematic random sampling?
What is the sampling interval in systematic random sampling?
How is stratified random sampling different from systematic random sampling?
How is stratified random sampling different from systematic random sampling?
What is the key principle of systematic random sampling?
What is the key principle of systematic random sampling?
What type of errors are included in non-sampling error?
What type of errors are included in non-sampling error?
What does the sample size formula n = z² p *q / e² help determine?
What does the sample size formula n = z² p *q / e² help determine?
What is the probability p in the sample size formula n = z² p *q / e²?
What is the probability p in the sample size formula n = z² p *q / e²?
What does the value of z represent in the sample size formula n = z² p *q / e²?
What does the value of z represent in the sample size formula n = z² p *q / e²?
Why is it necessary to add 4% more persons to the computed sample size?
Why is it necessary to add 4% more persons to the computed sample size?
How is q defined in the context of determining sample size?
How is q defined in the context of determining sample size?
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