Answer:
21
Step-by-step explanation:
Using Simple Random Sampling, we can estimate the sample size by the formula
[tex]\bf n=\frac{Z^2S^2}{e^2}[/tex]
where
n = sample size
Z = the z-score corresponding to the confidence level 99.5%
S = the assumed standard deviation = 3 seconds
e = margin of error = 2 seconds
It is worth noticing that the higher the confidence level, the larger the sample should be.
The z-score corresponding to a confidence level of 99.5% can be obtained either with a table or the computer and equals
Z = 3.023
Replacing the values in our formula
[tex]\bf n=\frac{(3.023)^23^2}{2^2}=20.5616\approx 21[/tex]
So the size of the sample should be at least 21.