Container 1 has 8 items, 3 of which are defective. Container 2 has 5 items, 2...
Container 1 has 8 items, 3 of which are defective. Container 2 has 5 items, 2 of which are defective. If one item is drawn from each container, what is the probability that both items are not defective? 0.3750 0.3846 0.1500 0.6154 show work please
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If one item is drawn from each container then the probability that both the items are not defective
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Container 1 has 8 items, 3 of which are defective. Container 2
has 5 items, 2...
Give exact value and show work. Suppose a lot of 10,000 items has 200 defective items...
Give exact value and show work. 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?
please show work.. Suppose there are 4 defective items in a lot (collection) of 60 items....
please show work..
Suppose there are 4 defective items in a lot (collection) of 60 items. A sample of size 15 is taken at random and without replacement. Let X denote the number of defective items in the sample. Construct the probability table and graph the probability mass function. In the sample, at least one defective item is detected. What is the probability that at most two defective items are found?
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 binomial approximation (to five decimal places) of the probability of getting exactly 2 defective items in the sample?
Suppose machine 1 produces items that are independently defective with probability 0.01, machine 2 produces items...
Suppose machine 1 produces items that are independently defective with probability 0.01, machine 2 produces items that are independently defective with probability 0.02, and machine 3 produces items that are independently defective with probability 0.04. Suppose we purchase a box with 100 items in it, all of which were produced by the same machine. The box was produced by machine 1 with probability 0.5, by machine 2 with probability 0.3, and by machine 3 with probability 0.2. (a) Find the...
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? Do not use Poisson or binomial approximation.
1) A process for manufacturing an electronic component yields items of which 1% are defective. A...
1) A process for manufacturing an electronic component yields items of which 1% are defective. A quality control plan is to select 100 items from the process, and if none are defective, the process continues. Use the normal approximation to the binomial to find (a) the probability that the process continues given the sampling plan described; (b) the probability that the process continues even if the process has gone bad (i.e., if the frequency of defective components has shifted to...
The company has two machines that produce certain items. Machine 1 produces 40 % of the...
The company has two machines that produce certain items. Machine 1 produces 40 % of the the items, and machine 2 produces 60% of the items. Machine 1 produces 3% of defective items and machine 2 produces 5% of defective items. a. The probability that a randomly selected produced item is defective is b. If a randomly selected item is found to be defective, probability that it is produced on machine 2 is
we have four boxes. box #1 contains 2000 components of which 100 are defective. Box #2...
we have four boxes. box #1 contains 2000 components of which 100 are defective. Box #2 contains 500 components of which 200 are defective. boxes #3 and #4 each contain 1000 components with 100 of them being defective. a box is selected by ruling a fair four sided die and then a single item is randomly chosen from the box. a.What is the probability that the selected component is defective? b. if the selected item is defective, find the probability...
2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective...
2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defec- tive. The company has evidence that 1% of the items its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? b) If an item selected at random is classified as nondefective, what is the probability that it is indeed good?
please show all work 1. 120 points! Four machines produce the total output of a factory,...
please show all work
1. 120 points! Four machines produce the total output of a factory, Machine 1 produces 30%, machine 2 produces 25% machine 3 produces 12% and machine 4 produces 13% of the output. 5% of the output of machine lis defective, 8% from machine 2 is not defective, 3% from machine 3 is defective and 4% from machine 4 is not defective. If a finished item is selected at rindom, a. What is the probability of it...
please show work..
Suppose there are 4 defective items in a lot (collection) of 60 items. A sample of size 15 is taken at random and without replacement. Let X denote the number of defective items in the sample. Construct the probability table and graph the probability mass function. In the sample, at least one defective item is detected. What is the probability that at most two defective items are found?
Suppose machine 1 produces items that are independently defective with probability 0.01, machine 2 produces items that are independently defective with probability 0.02, and machine 3 produces items that are independently defective with probability 0.04. Suppose we purchase a box with 100 items in it, all of which were produced by the same machine. The box was produced by machine 1 with probability 0.5, by machine 2 with probability 0.3, and by machine 3 with probability 0.2. (a) Find the...
The company has two machines that produce certain items. Machine 1 produces 40 % of the the items, and machine 2 produces 60% of the items. Machine 1 produces 3% of defective items and machine 2 produces 5% of defective items. a. The probability that a randomly selected produced item is defective is b. If a randomly selected item is found to be defective, probability that it is produced on machine 2 is
2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defec- tive. The company has evidence that 1% of the items its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? b) If an item selected at random is classified as nondefective, what is the probability that it is indeed good?
please show all work
1. 120 points! Four machines produce the total output of a factory, Machine 1 produces 30%, machine 2 produces 25% machine 3 produces 12% and machine 4 produces 13% of the output. 5% of the output of machine lis defective, 8% from machine 2 is not defective, 3% from machine 3 is defective and 4% from machine 4 is not defective. If a finished item is selected at rindom, a. What is the probability of it...
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