Exploring Sampling Methods in Statistics

Which of the following is NOT a type of sampling method mentioned in the video?

• Convenience Sampling

• Systematic Sampling

• Quota Sampling

• Simple Random Sampling

Why is convenience sampling considered the weakest type of sampling method?

• It is not representative of the population

• It is time-consuming

• It requires complex calculations

• It is expensive

What is a common issue with convenience sampling?

• It requires a lot of time

• It often leads to bias

• It is too expensive

• It is difficult to implement

What is the main advantage of simple random sampling?

• It is the easiest method

• It avoids all types of errors

• It ensures every individual has an equal chance of being selected

• It is the cheapest method

In systematic sampling, if you pick every 10th person, which of the following statements is true?

• It is the same as simple random sampling

• The 9th person has a chance of being selected

• The 11th person has no chance of being selected

• Every person has an equal chance of being selected

What is the key difference between stratified and clustered sampling?

• Clustered sampling does not involve random sampling

• Stratified sampling uses natural groupings

• Clustered sampling uses selected groupings

• Stratified sampling uses selected groupings

Which sampling method involves selecting groups based on geographical boundaries?

• Systematic Sampling

• Convenience Sampling

• Simple Random Sampling

• Clustered Sampling

What does a high non-response rate indicate?

• The survey was very popular

• Most people did not respond to the survey

• The survey reached a very small audience

• The survey was easy to understand

Why is it important to publish the non-response rate?

• To show the popularity of the survey

• To increase the credibility of the survey

• To hide the number of responses

• To provide transparency about the data

What is undercoverage in sampling?

• Not reaching everyone in the population

• Using a random sampling method

• Having a high response rate

• Including too many people in the sample