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The random variable X has a binomial distribution with parameters n=100 and p=0.10.What distribution model would be appropriate to use to calculate an approximate value for the probability P(X=10).Explain,calculate and show work.
At 0.01 significance level is it sensible to conclude that modification reduced number of traffic accidents?
How large a sample would be necessary to estimate the population proportion with a margin of error of 0.05 at 95% confidence?
A random variable is binomially distributed with n = 16 and π = .40. The expected value and standard deviation - find the sample size to estimate the mean with an error of ± 4 and 95 percent confidence (rounded to the next higher integer).
How do we use a least squares regression line? What is the range for the coefficient of determination?
problem 1 a small factory consists of a machining center and inspection station in series. unfinished parts arrive to
valerie bertinelli and subway jared compete in a series of six wing eating contests. the voracious valerie consumes an
the waiting times in minutes for 11 customers at a supermarket are 13951547911142 and 6. determine the approximate
The average price for a new home in a certain neighborhood is $275,000 with a standard deviation of $20,000. What is the probability that a particular home will cost between $280,000 and $300,000?
1. estimation of mean monthly rentalsa suppose we consider the following data on monthly rentals 980 1230 1320 1440
describe the types of probability.classify the statement as an example of classical probability empirical probability
If the standard deviation is $11,200, what can you say about the percentage of these workers who earn how likely is it that someone earns more than $100,000?
Fifty samples of size 600 were drawn from a manufacturing process and the number of defectives in each sample was counted.
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