Question

Suppose a lot of 10,000 items has 200 defective items and that a random sample of...

Suppose a lot of 10,000 items has 200 defective items and that a random sample of 30 is drawn from the lot. What is the Poisson approximation (to four decimal places) of the probability of getting exactly 1 defective in the sample?

(The answer is 0.5488, but I want to know how to get to this answer)

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose a lot of 10,000 items has 200 defective items and that a random sample of...
Suppose a lot of 10,000 items has 200 defective items and that a random sample of 30 is drawn from the lot. What is the Poisson approximation (to four decimal places) of the probability of getting exactly 3 defective in the sample?
Suppose a lot of 10,000 items has 200 defective items and that a random sample of...
Suppose a lot of 10,000 items has 200 defective items and that a random sample of 30 is drawn from the lot. What is the probability (to four decimal places) of getting exactly 1 defective in the sample?
A lot contains 12 items and 4 are defective. If two items are drawn at random...
A lot contains 12 items and 4 are defective. If two items are drawn at random from the lot, without replacement, what is the probability there is exactly one defective?
A quality control inspector has drawn a sample of 19 light bulbs from a recent production...
A quality control inspector has drawn a sample of 19 light bulbs from a recent production lot. If the number of defective bulbs is 2 or more, the lot fails inspection. Suppose 30% of the bulbs in the lot are defective. What is the probability that the lot will fail inspection? Round your answer to four decimal places.
A machine is shut down for repairs if a random sample of 200 items selected from...
A machine is shut down for repairs if a random sample of 200 items selected from the daily output of the machine reveals at least 15% defectives. (Assume that the daily output has a large number of items.) If on a given day, the machine is producing only 10% defective items, what is the probability that it will be shut down? State and justify a condition that is required to apply a normal approximation to this binomial probability.
Suppose the probability that a lightbulb is defective is 0.1. What is the probability that if...
Suppose the probability that a lightbulb is defective is 0.1. What is the probability that if you select a random sample of 8 lightbulbs, exactly 2 of the 8 lightbulbs will be defective? I know what the answer should be please explain how you got to it
1. A random sample of 15 items is selected from a lot in which the proportion...
1. A random sample of 15 items is selected from a lot in which the proportion of defective items is 10%. Find the probability that the number of defective items in the sample is less than or equal to 3. (Hint: use the Binomial Distribution Table) Group of answer choices a. 0.0556 b. 0.8159 c. 0.9444 d. 0.1841 e. 0.9873 2. A continuous random variable X has a normal distribution with mean 25. The probability that X takes a value...
A quality control inspector has drawn a sample of 14 light bulbs from a recent production...
A quality control inspector has drawn a sample of 14 light bulbs from a recent production lot. If the number of defective bulbs is 1 or less, the lot passes inspection. Suppose 20% of the bulbs in the lot are defective. What is the probability that the lot will pass inspection? Round your answer to four decimal places.
A manufacturing machine has a 40% defect rate. If 102 items are chosen at random, answer...
A manufacturing machine has a 40% defect rate. If 102 items are chosen at random, answer the following. a) Which is the correct wording for the random variable?    b) Pick the correct symbol: n = 102 c) Pick the correct symbol: p= 0.4 d) What is the probability that exactly 36 of them are defective? Round final answer to 4 decimal places. ________ e) What is the probability that less than 36 of them are defective? Round final answer...
A manufacturing process produces 7.2% defective items. What is the probability that in a sample of...
A manufacturing process produces 7.2% defective items. What is the probability that in a sample of 56 items: a. 10% or more will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability             b. less than 1% will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability             c. more than 10% or less than 1% will be defective? (Round...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT