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The sample mean X bar is the maximum likelihood estimator of sigma if the underlying p.d.f is f(x;sigma) = ((1/sigma)e^(-x/sigma)), 0<x< ifinity, where sigma > 0. For this distribution, E(X bar) = sigma and Var(X bar) = sigma^2/n where n is the sample size. Use the fact that X bar is the approximately N(sigma, sigma^2/n) to construct an approximate 95 percent confidence interval for sigma.
one of your companys products a flux capacitor is known to have an exponential failure time distribution with a mean of
Suppose that among workers exposed to asbestos in a shipyard in 1980, 33 died over a 10 year period from COPD, whereas only 24 such deaths would be expected based on statewide mortality rates. Is the number of deaths from COPD in this group excess..
a box of 10 gloves contains three left-handed gloves and seven right-handed gloves. complete parts a through d.a. if
Also, what information do you need to get from the problem to put into Minitab to run a binomial calculation?
according to a survey of the top employers in a major city in the midwest a worker spends a average 413 minutes a day
What percent of trucks logged more than 57,060 but less than 58,280 miles? What percent of Fords travelled 62,000 miles or less in the year?
The true population regression function, it isn"t. Before leaving this section we should ask and answer the following question. What"s so special about polynomials?
you want to compare response rates percents of two regimens. a power of 90 and a two-sided test of size 0.05 are
causality and inferencein may 1998 the new york times carried an article by adam bryant describing a research project
San francisco also reported that a scientific polling organization found that new zealanders favor the law by a margin of 56.4% to 39.3%. Explain why the two polls can give such widely differing results and which poll is likely to be more reliable..
Using the Student's t distribution statistical table, determine 1.645 value. Describe why t distribution approaches z distribution as sample size gets larger.
What is the probability that none of the next eight customers who order beer will order light beer? What is the probability that one customer will? What is the probability that two customers will?
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