Given X denote the number of defective items in the sample with probability p = 4/60 = 0.06667 and the sample size is 15.
So the distribution X ~ B(15,0.06667)
See the image for the probability table(left) and probability mass function(right).
Now in last part, it is asked P(X<=2 | X > 1)
which is P(X<= 2 X>1 ) / P(X>1) ==> P(X=2) /1 - P(X<=1)
P(X=2) = 0.190 and P(X<=1) = 0.355+0.380 = 0.735 (Note: The values are taken from probability table in image)
==> P(X=2) /1 - P(X<=1) = 0.190/ 1-0.735 = 0.7169
please show work.. Suppose there are 4 defective items in a lot (collection) of 60 items....
Suppose there are 4 defective batteries in a drawer with 10 batteries in it. A sample of 3 is taken at random without replacement. Let X denote the number of defective batteries in the sample. Find the probability that the sample contains a) Exactly one defective battery b) at most one defective battery. c) at least one defective battery.
1. The proportion of defective items in a large lot is p. Suppose a random sample of n items is selected from the lot. Let X denote the mumber of defective itens in the sample and let denote the number of non-defective items. (a) Specify the distributions of X and Y, respectively. Are they independent? (b) Find E(X-Y) and var(X Y). 1. The proportion of defective items in a large lot is p. Suppose a random sample of n items...
The proportion of defective items in a large lot is p. Suppose a random sample of n items is selected from the lot. Let X denote the number of defective items in the sample and let Ydenote the number of non-defective items (a) Specify the distributions of X and Y , respectively. Are they independent? (b) Find E(X −Y) and var(X −Y).
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?
3. Suppose a batch of 50 items contains 4 defective ones, and a sample of 5 items is selected at random from the batch. Let X denote the number of defective items in the sample. (a) What is the name of the distribution of X? (b) Find the probability mass function for X. You may write this as a function or as a chart. If you write it as a function, also give the set of X values where the...
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 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.
A batch of n = 50 items contains m = 10 defective items. Suppose k = 10 items are selected at random and tested. How many items, k, do we need to sample, in order to get at least one defective item, with probability greater than 0.5?
Suppose that in a batch of 500 components, 20 are defective and the rest are good. A sample of 10 components is selected at random with replacement, and tested. Let X denote the number of defectives in the sample. a. What is the PMF of X? State the distribution, its parameters, and give the equation for its PMF with the correct parameters. b. What is the probability that the sample contains at least one defective component?
6. Suppose that the proportion 0 of defective items in large shipment is unknown and that the prior distribution of 0 is the beta distribution with parameters 1 and 10. Assume in a random sample of 20 items that 1 item is found to be defective. (a) What is the expected value and variance of the prior distribution? (b) What is the posterior distribution? (c) What is the Bayes estimator for 0 if one uses the quadratic loss function? (d)...