Question

From a lot of 15 ​missiles, 4 are selected at random and fired. Suppose the lot...

From a lot of 15 ​missiles, 4 are selected at random and fired. Suppose the lot contains 3 defective missiles that will not fire.

​(a) What is the probability that all 4 missiles will​ fire?

​(b) What is the probability that at most 2 will not​ fire?

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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...
Question 1) A random sample of 15 items is selected from a lot in which the...
Question 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. A. Let X be the cost per gallon of gas at a pump, and X is normally distributed with mean 2.3 and standard deviation 0.2. If you fill up at a random gas pump, what is the probability that...
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 lot of 106 semiconductor chips contains 29 that are defective. Round your answers to four...
A lot of 106 semiconductor chips contains 29 that are defective. Round your answers to four decimal places (e.g. 98.7654). a) Two are selected, at random, without replacement, from the lot. Determine the probability that the second chip selected is defective. b) Three are selected, at random, without replacement, from the lot. Determine the probability that all are defective.
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?
A lot of 101 semiconductor chips contains 25 that are defective. (a) Two are selected, one...
A lot of 101 semiconductor chips contains 25 that are defective. (a) Two are selected, one at a time and without replacement from the lot. Determine the probability that the second one is defective. (b) Three are selected, one at a time and without replacement. Find the probability that the first one is defective and the third one is not defective.
A) A container contains 15 diesel engines. The company chooses 7 engines at​ random, and will...
A) A container contains 15 diesel engines. The company chooses 7 engines at​ random, and will not ship the container if any of the engines chosen are defective. Find the probability that a container will be shipped even though it contains 2 defectives if the sample size is 7. B) Suppose that11% of a certain batch of calculators have a defective​ case, and that 17% have defective batteries.​ Also, 3​% have both a defective case and defective batteries. A calculator...
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?
4.68 Lot inspection sampling. Imagine you are purchasing small lots of a manufactured product. If it...
4.68 Lot inspection sampling. Imagine you are purchasing small lots of a manufactured product. If it is very costly to test a single item, it may be desirable to test a sample of items from the lot instead of testing every item in the lot. Suppose each lot contains 10 items. You decide to sample 4 items per lot and reject the lot if you observe 1 or more defective. a. If the lot contains 1 defective item, what is...
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)