Question

A store manager wants to know the percentage of shoppers who use coupons he surveys everyone who answers their meat aisles he finds that 60% of shoppers use coupons does the sampling method the store manager use to support a valid interference?

Answer 1

[AI-generated answer — Bot GPT 3.5]

No, the sampling method used by the store manager does not support a valid inference because he only surveyed shoppers in the meat aisles. This may not be representative of all shoppers in the store, as different aisles may attract different types of shoppers with varying coupon usage habits. To ensure a valid inference, the store manager should survey a random sample of shoppers from all areas of the store.

Answer 2

Equality 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 interference?

Answer 3

[AI-generated answer — Bot GPT 3.5]

Random sampling would most likely lead to a valid inference in this case. By randomly selecting light bulbs from the production line, the quality control manager can ensure that each light bulb has an equal chance of being included in the sample. This will help in obtaining a representative sample of the entire production line, allowing for an accurate estimation of the percentage of defective light bulbs. Random sampling helps to minimize bias and ensure that the conclusions drawn from the sample can be generalized to the entire population of light bulbs on the production line.