Answer:
D. 77
Explanation:
We have to find our
level, that is the subtraction of 1 by the confidence interval divided by 2. So:
Now, we have to find z in the Z-table as such z has a p-value of
.
That is z with a p-value of
, so Z = 2.327.
Now, find the margin of error M as such
In which
is the standard deviation of the population and n is the size of the sample.
The population standard deviation is estimated to be $300
This means that

If a 98% confidence interval is used and the maximum allowable error is $80, how many cardholders should be sampled?
This is n for which M = 80. So






Rounding up:
77 cardholders should be sampled, and the correct answer is given by option d.