Answer:
The formula for calculating sample size for a proportion is:
n = (z^2 * p * q) / E^2
Where:
- z is the z-score corresponding to the desired confidence level (in this case, 2.576 for 99% confidence)
- p is the estimated proportion
- q is 1-p
- E is the margin of error
Plugging in the given values, we get:
n = (2.576^2 * 0.3 * 0.7) / 0.18^2
n ≈ 42.71
Since we can't have a fraction of a person in a sample, we round up to the nearest whole number to get:
n ≈ 43
Therefore, the answer is (c) 43.
C. 43 hope it helpssssss
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Answer:
The formula for calculating sample size for a proportion is:
n = (z^2 * p * q) / E^2
Where:
- z is the z-score corresponding to the desired confidence level (in this case, 2.576 for 99% confidence)
- p is the estimated proportion
- q is 1-p
- E is the margin of error
Plugging in the given values, we get:
n = (2.576^2 * 0.3 * 0.7) / 0.18^2
n ≈ 42.71
Since we can't have a fraction of a person in a sample, we round up to the nearest whole number to get:
n ≈ 43
Therefore, the answer is (c) 43.
C. 43 hope it helpssssss