Assume that the times between arrivals of customers to a store are independent of each other and
exponentially distributed with an average of 10 minutes.
(a) Find the probability that the time between arrivals is more than 30 minutes.
(b) Find the probability that two customers arrive at the same time.
(c) Find the probability that the time until the next arrival is more than 30 minutes, given that it is
more than 20 minutes.
(d) If two customers arrived between 12:50 and 13:00 and one at 13:00, what is the probability
that the next customer arrives before 13:15?
survey of 31 randomly selected students finds that they save a mean of $82 per semester by
using a website. Assume the date comes from a normal distribution and the sample standard deviation is $18 per month.
Confidence Interval: What is the 99% confidence interval to estimate the population mean? (Round your
answers to two decimal places.)
____< u < _____
A sample of 25 women had a variance in IQ scores of 62. A sample of 18 men had a variance of 72. Do the women have a smaller variance in IQ scores at the 0.01 level of significance? Assume both populations are normally distributed
A researcher claims that 10 year olds watch 6.6 hours of TV daily with SD = 2.5 hours. You try to verify this with the following sample data of 100 and a sample mean of 6.1 hours. Test the claim of the researcher. Test at α = .01
A Research Director of a certain university wants to replicate the result of the study 10 years ago with a standard deviation of 0.14. He wants to estimate the population mean to within an error of 0.04 of its true value. Using 95% confidence level, what is the sample size that he needs?
Let X, Y be independent and identically distributed random variables from a distribution having probability density function
f(y) = 10(1 − y)^9 , 0 < y < 1
Further let Z be the smaller value of the two random variables. Using the distribution function technique, find the probability density function of Z.
Let X, Y be independent and identically distributed random variables, each having the distribution f(x) = 5(1 − x) 4 , 0 < x < 1.
Further let W = min(X, Y) . Find the probability density function of W and hence compute the mean of W.
The joint probability density of X, Y is
f(x, y) = e −(x + y) xi > 0 i = 1, 2
0 otherwise
Using the change of variable technique, determine the joint distribution of Z = X and W = X + Y
Suppose that X1 and X2 have the joint probability distribution
f(x1, x2) = kx1x2 x1 = 1, 2, 3 x2 = 2, 3, 4
0, otherwise
Find the value of k so that the two variables are independent of each other
Let X, Y be independent and identically distributed random variables, each having Poisson distribution with rate parameter λ. Find the probability generating function of W = X + Y and hence the mean and variance of W