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Tasks are sent to a supercomputer at an average rate of 6 tasks per minute. Their arrivals are modeled by a Binomial counting process with 2-second frames.
(a) Compute the probability of more than 2 tasks sent during 10 seconds
(b) Compute the probability of more than 20 tasks sent during 100 seconds. You may use a suitable approximation
A financial adviser is interested in predicting bond yield based on bond terms, i.e., one year, two years, etc. What is the dependent variable?
mean is 100 and sd is 16. doug has an iq of 76. what proportion of people have a higher iq than
a discrete random variable can be described as binomial distribution if is satisfies four conditions briefly discuss
What would be the correct null and alternative hypothesis for the following situation: The sample has a mean of 72.3 mph and a standard deviation of 7.4 mph. Use a 0.05 significance level to test the claim that the mean speed of all cars is greate..
At the 0.10 significance level was the sample result different from the usual pattern? Show how to plug this in megastat and if it is chi square or anova.
Half of those stockbrokers who do not drink coffee, eat a candy bar. What is the probability that a stockbroker who eats candy also drinks coffee?
Assume that replacement time for TVs are normally distributed with a mean of 8.2 years and a standard deviation of 1.1 years. The probability a randomly selected TV will have replacement time less than 5.5 years to be .0071.
a market research company interviews a simple random sample of 3600 persons in a certain town and asks what they did
lori m. is trying to determine the proportion of expense reports that contain questionable charges. she takes a
Should Mark use the study? Why? What is the maximum amount Mark should be willing to pay for this study? What is the maximum amount he should pay for any study?
At a board meeting of 20 businessmen, all of whom wear ties, what is the probability that:
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process.
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