Answer:
The minimum sample size they need is of 1842 viewers.
Explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of
.
The margin of error is:

99% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
Minimum sample size
n when M = 0.03.
We do not know the true proportion, so we use
, which is the case for which we are going to need the largest sample size.






Rounding up
The minimum sample size they need is of 1842 viewers.