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Let X and Y be continuous random variables.
(i) Show that if X and Y are independent, they they are uncorrelated.
(ii) Prove that X + Y and X - Y are uncorrelated if and only if X and Y have the same variance.
Suppose that the joint probability density function of the continuous random variables U and V is given by
f(u, v) = {6e^(-2u-3v), 0,u >= 0, v >= 0 otherwise
(iii) Show that U and V are independent.
(iv) Find the probability density function of U + V.
(vi) Let P = 2U + 3V and Q = 2U - 3V. Given that the variances of U and V are 1/4 and 1/9 respectively, show that P and Q are uncorrelated.
Describe a different example of where the independent variable, while highly correlated to the dependent variable, does not cause the dependent variable to change directly.
There are 5,000,000 Adults 25+ in Mtown. An advertiser buys a schedule on Channel 45: 20 spots in early news with an average A25+ quarter hour audience of 150,000, 25 spots in daytime with an average A25+ quarter hour audience of 200,000, and 10 s..
Find out correlation coefficient r, If student take 35 minutes to complete exam, what is his predicted score.
Using a significance level of 0.05, perform a hypothesis test to see if the workers are right, and you need to hire more help. Write your hypotheses, calculate your test statistic and decide whether or not to reject your null.
The resort's historical climate data suggests that the probability of a good winter with lots of snow during any given year is 40%.
The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project.
If she has chosen the first weeks rides, how many ways can she choose four more different rides for the second week? Assume that order does not matter.
Find out the least-squares regression line and interpret its slope.
Eighty-eight shoppers were interviewed at random, and 59 said that they prefer to shop alone. What is the value of q-hat?
Find the 90% confidence interval for the variance and standard deviation for the time it takes a state police inspector to check a truck for safety if a sample of 27 trucks has a standard deviation of 6.8 minutes.
Women's heights are normally distributed with mean 63.6 and standard deviation of 2.5 in. A social organization for tall people has a requirement that women must be at least 70 in tall.
A consumer survey indicates that the average household spends m=$155 on groceries each week. The distribution of spending amounts is normal with a standard deviation of o=$25. Based on this distribution
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