Final answer:
The minimum sample size needed depends on the original population and the desired level of confidence. You can use a formula to calculate the minimum sample size needed to estimate a population proportion.
Step-by-step explanation:
The minimum sample size needed depends on the original population from which the samples are drawn. In order to be statistically significant, the sample size should be at least 30 or the data should come from a normal distribution. However, if you want to estimate a population proportion with a certain level of confidence, you can use the formula n = (Z^2 * p * (1-p)) / E^2, where Z is the z-score corresponding to the desired level of confidence, p is the estimated population proportion, and E is the desired margin of error. By substituting the values into the formula, you can calculate the minimum sample size needed.