To probability is 0.02 that an item produced by a factory is defective. A shipment of 10,000 items is sent to its warehouse. Find the expected number of defective items and the standard deviation.

The sum of 10 items is 12 and sum of their squares is 18, then find the standard deviation ?

The mean of 200 items is 48 and their standard deviation is 3. Find the sum of squares of all items.

The items produced by a firm are supposed to contain 5% defective items. The probability that a smaple of 8 items will contain will less than 2 defective items, is

The standard deviation of 15 items is 6 and each item is decreased by 1. Then find the standard deviation of new data.

From a lot of 10 items containing 3 defectives, a sample of 4 items id drawn at random. Let the random variable X denote the number of defective items in the sample. If the sample is drawn randomly, find (i) the probability distribution of X (ii) P(Xlt=1) (iii) P(X<1) (iv) P(0

The items produced by a company contain 10% defective items. Show that the proximity of getting 2 defective items in a sample of 8 items is (28xx9^6)/(10^8) .

From a log of 6 items containing 2 defective items, a sample of 4 items are drawn at random. Let the random variable X denote the number of defective items in the sample. If the sample is drawn without replacement, find : (a) The probability distribution of X. (b) Mean of X. (c ) Variance of X.

The mean and standard deviation of 10 items were found to be 17 and sqrt(33) . Later it was detected that an item was tekn wrongly as 26 in place of 12. Find the correct mean and standard deviation.

There are 6% defective items in a large bulk of item. Find the probability that sample of 8 items will include not more than one defective items.

In a group of 200 items, if the probability of getting a defective item is 0.2, write the mean of the distribution.