Final answer:
To estimate the mean with a margin of error of no more than $20 with 99% confidence, the researcher needs to survey a minimum of 2667 people.
Step-by-step explanation:
To estimate the mean with a margin of error of no more than $20 with 99% confidence, the researcher needs to determine the minimum sample size. The formula to calculate the minimum sample size is:
n = (Z * σ / E)²
where n is the sample size, Z is the Z-score corresponding to the desired confidence level (in this case, 99% confidence corresponds to a Z-score of 2.576), σ is the population standard deviation, and E is the desired margin of error (in this case, $20).
Since we don't have the population standard deviation, we can use a conservative estimate based on the range of spending habits mentioned. The maximum range of spending is $328 - $0 = $328. Assuming a worst-case scenario where the population standard deviation is half the range, we can use σ = $328 / 2 = $164.
Substituting the values into the formula:
n = (2.576 * $164 / $20)² = 2666.39 ≈ 2667
Therefore, the minimum number of people the researcher should survey is 2667 to estimate the mean with a margin of error of no more than $20 with 99% confidence.