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(a) Supply a suitable definition of a non-homogenous compund Poisson process, {X(t) : t in [0, infinity] }
(b) Does {X(t)} have stationary and/or independent increments?
(c) Determine cov(X(s), X(t)) for 0 < s < t under suitable moment conditions.
suppose that incoming lots are 0.5 nonconforming. what is the probability of rejecting these lots under both
A sample of 400 individuals participated in the taste test and 80 indicated they like the taste. At a 5% significance level, test to determine if at least 22% of the population will like the new soft drink.
Research by the Illinois Banking Company revealed that only 10 percent of their customers wait more than five minutes to do their banking. Management considers this reasonable and will not add more tellers unless the proportion becomes larger than..
question let y be a random variable with probability density function gy0.5siny where pi ge y ge 0. let x be a random
When using the normal distribution (empirical rule) to obtain the bounds for a 99.73 percent of the values in a population, the interval generall will be _________________ the interval obtained for the same percentage if Chebyshev's theorem is ass..
If the number of trials during each experiment is 12, determine the maximum likelihood estimate for the probability of success, p.
Suppose the college in question 12 has only graduated 10,000 students. Construct a 96 percent confidence interval for the mean time required for all graduates to earn a bachelor's degree.
find the probability density function for the t-distribution with 1 degree of freedom. hint in math 380 you calculated
deliverable length 500-1000 wordscompany w is testing a sales software package. their sales force of 500 people is
we know many types of data fall into a normal distribution with most of the observations falling towards the middle.
a researcher conducted a study that examined the proportion of high school students who cheated on tests at least twice
Critically discuss the assumptions, if any, regarding a Chi-square test? What are the assumptions to apply linear regression?
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