Final answer:
The student is attempting to find the probability of obtaining a certain number of successes in a normally distributed variable, using the normal distribution cumulative distribution function calculator. This involves calculating the area under the normal curve for a given range.
Step-by-step explanation:
The student is asking about calculating a probability for a particular number of individuals with a characteristic which translates to finding the area under a normal distribution curve. Given the context, it appears that x represents the number of individuals and the information provided suggests that the underlying distribution is normally distributed. For example, P(x > 50) = normalcdf(50, E99, 30.9, 1.8) ≈ 0 indicates the student is asking for a cumulative probability which is very small and tends to zero.
The statement P(p≥0.68)? seems to be related to a probability of a proportion, suggesting this might be a binomial problem approximated by the normal distribution, since such approximations are common when the sample size is large.
If the distribution parameters are known (mean and standard deviation), the cumulative distribution function (normalcdf) on a calculator can be used to find this probability.