Final answer:
A 95% confidence level means that 95% of the intervals calculated from many samples will contain the actual proportion of members who would quit. The interval calculated suggests that the owner cannot be confident that less than 20% of members will quit. Conditions ensure at least five successes and failures for the normal approximation to be valid.
Step-by-step explanation:
(a) A 95% confidence level in the context of this study means that if the owner takes many random samples of the fitness club members and calculates the confidence interval for each sample, 95% of those intervals will contain the true proportion of members who would quit due to the fee increase.
(b) The calculated confidence interval of 0.18 ± 0.075 implies that the owner is 95% confident that the true proportion of members who would quit if the monthly fee increased to $50 is between 10.5% (0.18 - 0.075) and 25.5% (0.18 + 0.075).
(c) Based on this confidence interval, the owner cannot be certain that less than 20% of members will quit, as the upper bound of the interval (25.5%) is greater than 20%. Therefore, the fee increase may not be worthwhile according to the accountant's criterion.
(d) The condition n π ≥ 5 and n (1 - π) ≥ 5 ensures that there are at least five expected successes and five expected failures in the sample, which is necessary for the normal approximation to be valid when constructing a confidence interval for a proportion.