Lesson 3.2 Checkpoint

You have probably seen the mall interviewer, clipboard in hand, approaching people passing by. Explain what type of sampling this is and why even a large sample of mall shoppers would not provide a trustworthy estimate of the current unemployment rate in the city where the mall is located. (LT 3.2.1 #1)

• Convenience Sampling

• Random Sampling

• Voluntary Response Sampling

• This was a census

You have probably seen the mall interviewer, clipboard in hand, approaching people passing by. Is the proportion of unemployed people in the sample likely greater than or less than the proportion of all people who are unemployed? (LT 3.2.1 #2)

• The sample is likely to overestimate the unemployment rate because people without jobs have more time to be at the mall than those who are employed.

• The sample is likely to be exactly the unemployment rate because people without jobs have more time to be at the mall than those who are employed.

• The sample is likely to underestimate the unemployment rate because people without jobs have more time to be at the mall than those who are employed.

Many websites include customer reviews of products, restaurants, hotels, and so on. The manager of a hotel was upset to see that 26% of reviewers on a travel website gave the hotel a “1 star” rating—the lowest possible rating. Explain why this sampling method is biased. (LT 3.2.2 #1)

• Convenience Sampling

• Voluntary Response Sampling

• Random Sample

• This was a census.

Many websites include customer reviews of products, restaurants, hotels, and so on. The manager of a hotel was upset to see that 26% of reviewers on a travel website gave the hotel a “1 star” rating—the lowest possible rating. Is 26% likely greater than or less than the percentage of all the hotel’s customers who would give the hotel 1 star? Explain. (LT 3.2.2 #2)

• It is likely greater than the true percentage of all the hotel's customers who would give the hotel 1 star.

• It is likely less than the true percentage of all the hotel's customers who would give the hotel 1 star.

• It is likely exactly the true percentage of all the hotel's customers who would give the hotel 1 star.

You have probably seen the mall interviewer, clipboard in hand, approaching people passing by.

Explain how to avoid the bias described in this situation. (LT 3.2.3 #1)

• I would use convenience sampling to avoid personal choice bias

• I would use random sampling to avoid personal choice bias

• I would use voluntary response sampling to avoid personal choice bias

• This was a census; there is no bias

Many websites include customer reviews of products, restaurants, hotels, and so on. The manager of a hotel was upset to see that 26% of reviewers on a travel website gave the hotel a “1 star” rating—the lowest possible rating.

Explain how to avoid the bias described in this situation. (LT 3.2.3 #2)

• I would use convenience sampling to avoid personal choice bias

• I would use random sampling to avoid personal choice bias

• I would use voluntary response sampling to avoid personal choice bias

• This was a census; there is no bias