Daniel, this is the solution to the problem:
Let's calculate the confidence interval for a sample of 80, as follows:
Z = 1.96 for 95% confidence, therefore:
C.I = (0.5 +/- 1.96 √(0.5 (1 - 0.5)/80)
C.I = 0.5 +/- 0.11
C. I = (0.39, 0.61)
Now, let's do the same calculations for a sample size of 50, this way:
C.I. = (0.5 +/- 1.96 √0.5 (1 - 0.5)/50)
C.I = 0.5 +/- 0.139
C.I = (0.361, 0.639)
Therefore, for a sample size of 80, the wide is 0.22 (0.61 -0.39) and for a sample size of 50, the wide is 0.278 (0.639 - 0.361)
For sample sizes of 60 and 70, the results would be higher than 0.22 but lower than 0.278.
The correct answer is D. 50