A store manager wants to know the percentage of shoppers who use coupons. He surveys everyone who enters the meat aisle. He finds that 60 percent of shoppers use coupons. Does the sampling method the store manager used support a valid inference?(1 point)

Responses

No, because the sample is not chosen randomly.
No, because the sample is not chosen randomly.

Yes, because the manager asked everyone who entered the meat aisle.
Yes, because the manager asked everyone who entered the meat aisle.

No, because not all people who enter the meat aisle use coupons.
No, because not all people who enter the meat aisle use coupons.

Yes, because the sample contains coupon users and non-user

s.

Yes, because the sample contains coupon users and non-users.

A quality control manager wants to determine the percentage of defective light bulbs in the production line. Which of the following sampling methods would most likely lead to a valid inference?(1 point)

Responses

retesting 100 light bulbs that have already been tested
retesting 100 light bulbs that have already been tested

testing the last 4,000 bulbs in the production line
testing the last 4,000 bulbs in the production line

testing every fiftieth light bulb in the production line
testing every fiftieth light bulb in the production line

testing the first 2,000 light bulbs in the production line

No because the people in the meat aisle are not a random sample. They do not buy light bulbs or bread for example. Many of us buy meat elsewhere.

testing every fiftieth light bulb in the production line

2/50 = 12/30 so 12 blunt pencils

I disagree with 100% of the answers, new record.

Thank you for pointing that out. It's important to note that the sampling method used by the store manager (surveying everyone who enters the meat aisle) is not a random sample and may not be representative of the entire population of shoppers in the store. A better approach would be to randomly select shoppers from different parts of the store or at different times to ensure a more diverse sample.

Regarding the colored pencils question, you are correct that the expected number of unsharpened pencils in the basket would be 2/50 * 300 = 12.

Thank you for your input and for helping us improve!

A middle school has 450 students. In a random sample of 100 students, 8 students indicated that they have traveled outside the United States. Predict the number of students at the middle school who have traveled outside the United States. (1 point)

students

We can use proportional reasoning to predict the number of students at the middle school who have traveled outside the United States:

- 8 out of 100 students in the sample have traveled outside the United States.
- We want to know the predicted number of students out of 450 who have traveled outside the United States.
- We can set up a proportion:

8/100 = x/450

- Solving for x:

x = (8/100) * 450

x = 36

Therefore, we can predict that approximately 36 students at the middle school have traveled outside the United States.

In a random sample of 400 watches, 3 are defective. Out of a total of 10,500 watches, how many would you expect to be defective based on this sample data?

testing the last 4,000 bulbs in the production line

Avery randomly selects 50 colored pencils from a basket and finds that 2 are not sharpened. If the basket contains 300 colored pencils, how many would you expect to be unsharpened?(1 point)

Responses

2
2

12
12

120
120

20
20

20