Final answer:
To solve this problem, we can use the binomial distribution formula. The mean number of cases can be calculated as n * p, and the probability of different cases can be found using the cumulative distribution function.
Step-by-step explanation:
To solve this problem, we can use the binomial distribution formula. Let's denote the number of cases of the tumor as X. The probability distribution for X follows a binomial distribution with parameters n = 19458 (the number of children in the town) and p = 0.000011 (the probability of the tumor in a child).
a) The mean number of cases in groups of 19458 children can be calculated as n * p, which is 19458 * 0.000011 = 0.214.
b) To find the probability of 0 or 1 case, we can use the cumulative distribution function (CDF) of the binomial distribution. P(X <= 1) = P(X = 0) + P(X = 1) = (1 - p)^n + n * p * (1 - p)^(n - 1).
c) To find the probability of more than one case, we can use the complement of the probability of 0 or 1 case. P(X > 1) = 1 - P(X <= 1).