Final answer:
To construct a 99% confidence interval with 0.007 ounces margin of error, a sample size of 125 is needed. To construct a 95% confidence interval with a 0.2 margin of error, a sample size of 241 is needed.
Step-by-step explanation:
To determine the sample size needed to construct a 99% confidence interval with a margin of error equal to 0.007 ounces, we can use the formula:
Sample size = ((Z-value)^2 * (standard deviation)^2) / (margin of error)^2
Plugging in the given values:
Sample size = ((2.33)^2 * (0.05)^2) / (0.007)^2
Sample size ≈ 124.489
Rounding up to the nearest integer, the sample size needed is 125.
For the second question, to determine the sample size needed to construct a 95% confidence interval with a margin of error equal to 0.2, we can use the same formula:
Sample size = ((Z-value)^2 * (standard deviation)^2) / (margin of error)^2
Plugging in the given values:
Sample size = ((1.96)^2 * (2.5)^2) / (0.2)^2
Sample size ≈ 240.1
Rounding up to the nearest integer, the sample size needed is 241.