X is a random variable following binomial distribution with mean 2.4 and variance 1.44 find P[X>5]
Q.4. X is a random variable following binomial distribution with mean 2.4 and variance 1.44 find P[X>5]
X is a random variable following binomial distribution with mean 2.4 and variance 1.44 find
In a random sample of 95 sections of pipe in a chemical plant, 16 showed signs of serious corrosion. Construct a 98% confidence interval for the true proportion of pipe sections showing signs of serious corrosion, using the large sample confidence interval formula.
How large a sample will we need to be able to assert with probability 0. 90 that the sample mean will not differ from the true mean by more then 2.5 units? Assume that it is known from past experience that
Suppose flaws occur on the surface of glass with density of 3 per square meter. What is the probability of there being exactly 4 flaws on a sheet of glass of area 0.5 square meter?
it is dark in room and i went to get two socks of he same colour from my drawer,which contains 26 red,24 blue and 34 brown socks.how many socks do i have to take from he drawer to get at least two socks of the each colour?
The University Entrance scores are normally distributed with a mean of 250 and a standard deviation of 30. What is the probability that a randomly selected student scored lower than 250?
A charity believes that when it puts out an appeal for charitable donations the donations it receives will normally distributed with a mean of $50 and standard deviation of $6, and it is assumed that donations will be independent of each other. (i) Find the probability that a ...
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