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STAT 495, Fall 2003 Homework Assignment #9 1. A company uses mechanical switches in one of its products. The company wants the switches to withstand 50,000 on/off cycles without failure. A new supplier ships 200 switches for inspection and testing by the the company. Assume that 30 of the 200 switches will fail before they reach 50,000 cycles. If ten switches are chosen at random and put on test, what is the chance that none of the ten will fail before they reach 50,000 cycles? one will fail? two will fail ? half will fail? Since the ten switches are put on test at the same time, sampling is done without replacement. 2. At home you have a drawer full of batteries. Some of them are good, will light the single battery flashlight, and some are bad, will not light the single battery flashlight. Good and bad batteries are mixed together (you just can’t bring yourself to throw those old batteries out but you keep buying new ones). Assume that 85% of the batteries are good and 15% of the batteries are bad. You sample batteries from the drawer with replacement, that is you choose a battery, check to see if it is good or bad and throw it back into the drawer. Why you are doing this is not obvious but could be related to taking a statistics course during the fall semester. If you sample ten batteries at random with replacement, what is the chance that all ten will be good? one will be bad? two will be bad? half will be bad? 3. What are the similarities and differences between the set up of problems 1 and 2? How close are the probabilities calculated in 1 and 2? Which probabilities were easier to calculate? What does this illustrate about the difference between the binomial and hypergeometric probability distributions when you sample 10 items from an original population with and without replacement? 1