Assume that the number of defective bulbs has a Poisson distribution. The probability of a defective bulb is 0.1.
Assuming the chips are independent, what is the probability that at least one of the selected chips is defective? Lets break this problem up into smaller Assume there is a probability that an event will happen. You would not be interested if it would always happen as the probability then would be 1.
bulbs, 10 of which are defective. The quality control test is to take a random sample of 5 light bulbs, without replacement, from the box. If one is defective, the box will not be shipped. What is the probability that the box will not be shipped. We’ve already calculated the probability that the box will Question 17: (i) A lot of 20 bulbs contain 4 defective ones. One bulb is drawn at random from the lot. What is the probability that this bulb is defective? Solution: Total Number of events = 20. Number of favourable events = 4. P(E) `=(4)/(20)=1/5` (ii) Suppose the bulb drawn in (i) is not defective and is not replaced. What is the probability that this bulb is not defective? Solution: (i) Numbers of defective bulbs = 4. The total numbers of bulbs = 20. P(E) = (Number of favourable outcomes/ Total number of outcomes) ∴ Probability of getting a defective bulb = P (defective bulb) = 4/20 = ⅕ = 0.2 (ii) Since 1 non-defective bulb is drawn, then the total numbers of bulbs left are 19. So, the total numbers of events (or outcomes) = 19. Numbers of defective bulbs = 19-4 = 15. So, the probability that the ...
a quality control engineer at a light bulb plant estimated that 1% of the bulbs it sells are defective. if you purcgase a package of 3 bulbs what is the probability that exactly one of them is defective? Through a mix up on the production line, 5 defective light bulbs were shipped out with 32 good ones. Through a mix up on the production line ...