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(a) Show by counterexample that convergence almost everywhere does not imply convergence in the MS sense.
(b) Show by counterexample that convergence in the MS sense does not imply convergence almost everywhere.
Statistics and Probability, Statistics
The monthly sales demand for a new product is uncertain, but it is considered to be adequately described by a normal random variable with mean 50,000 units and variance 100,000,000. (a) A factory to manufacture the new p ...
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Hospital waiting room times are normally distributed with a mean of 38.12 minutes and a standard deviation of 8.63 minutes. What is the shortest wait time that would still be in the worst 20% of wait times?
Can someone explain this to me? Or draw it out so that I can understand. You may see a problem like the following: a mean score of 20 and SD of 3, and asked what percentage of cases will be between 17 and 23, you would r ...
If a wooden car has 30 independent components that all must function for the wooden car to operate successfully during a race, and the probability of successful operation for any single component is 0.999, what is the pr ...
We want to estimate the mean weight of all 7th grade boys in a city. It is not known whether the distribution of the weights is normal or not. Suppose we have a random sample of 64 boys from 7th grade from that city and ...
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