Question

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 to 4 decimal places. ________

f) What is the probability that more than 36 of them are defective?

Round final answer to 4 decimal places. _________

g) What is the probability that exactly 40 of them are defective?

Round final answer to 4 decimal places. __________

h) What is the probability that at least 40 of them are defective?

Round final answer to 4 decimal places. __________

i) What is the probability that at most 40 of them are defective

Round final answer to 4 decimal places. __________

Homework Answers

Answer #1

for further query please comment below.thank you

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
A manufacturing machine has a 1% defect rate. If 6 items are chosen at random, what...
A manufacturing machine has a 1% defect rate. If 6 items are chosen at random, what is the probability that at least one will have a defect?
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...
A manufacturing process produces 6.2% defective items. What is the probability that in a sample of...
A manufacturing process produces 6.2% defective items. What is the probability that in a sample of 48 items: a. 11% 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 2% will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability             c. more than 11% or less than 2% will be defective? (Round...
Ten percent of the items produced by a machine are defective. A random sample of 100...
Ten percent of the items produced by a machine are defective. A random sample of 100 items is selected and checked for defects. Round answers to four decimal places. A)What is the probability that the sample will contain more than 2.5% defective units? B)What is the probability that the sample will contain more than 13% defective units?
A machine makes defective items according to a Poisson process at the rate of 3 defective...
A machine makes defective items according to a Poisson process at the rate of 3 defective items per day. We observe the machine for 6 days. What is the probability that on exactly two of the six days, the machine makes exactly 4 defective items?
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)
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?
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?
The probability of a manufacturing defect in an aluminum beverage can is .00007. If 100,500 cans...
The probability of a manufacturing defect in an aluminum beverage can is .00007. If 100,500 cans are produced, find the following probabilities. (a) At least six defective cans. (Round your answer to 4 decimal places.)      Probability       (b) At least seven defective cans. (Round your answer to 4 decimal places.)      Probability       (c) Is the Poisson approximation justified?    No Yes
At a car manufacturing plant, 40% of cars have some sort of defect when they come...
At a car manufacturing plant, 40% of cars have some sort of defect when they come off the line. If 12 inspectors randomly pick a car to check for defects, what is the probability 3, 4 , or 5 of them have defects