Question: Please solve below. 5. The probability that a bulb will fail before 100 hours is 0.2. Bulbs fail independently. If 15 bulbs are tested for
Please solve below.

5. The probability that a bulb will fail before 100 hours is 0.2. Bulbs fail independently. If 15 bulbs are tested for life lengths, what is the probability that the number of failures before 100 hours does not exceed 4? 6. The distribution of number of road accidents per day follows a Poisson distribution with mean 4. Find the number of days out of 100 when there will be i. No accidents 11. At least two accidents 11i. At most three accidents iv. Between 3 and 5 accidents
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