"In the article Geometric Probability Distribution for Modeling of Error Risk During Prescription Dispensing, American Journal of Health-System Pharmacists, Vol. 63, Issue 11, June 1 2006, the authors use the geometric model to analyze how many prescriptions a pharmacist can process until the pharmacist makes the first dispensing error, either in labeling (incorrect information or instructions) or drug content (omissions; incorrect drug, quantity, or strength). Suppose a pharmacist's error rate is 0.03."

problem 1. On average, how many prescriptions would this pharmacist process until he or she made the first dispensing error? - 33.33

problem 2. What is the median number of prescriptions until the pharmacist makes the first dispensing error? Hint: find the smallest value of x such that P(X <= x) is larger than 0.50. - 23

problem 3. What is the probability that the first dispensing error occurs among the first 10 prescriptions? - .263

problem 4.A new trainee pharmacist has an error rate of 0.04. Find the expected number of prescriptions until the first dispensing error, the median number of prescriptions until the first dispensing error, and the probability that the first dispensing error occurs among the first 10 prescriptions. - 25 expected number, 17 median number, 0.335 prob.