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According to a survey of 25,000 households conducted by Nielson Company, 51% of the people watching the 2010 Super Bowl enjoyed the commercials more than the game itself. Consider a random sample of nine people who watched the Super Bowl:
a production line makes units with a mean weight of 80 g and standard deviation of 5 g. what is the probability that a
Now suppose 3 of his customers want the same ring, and they will go to another store if its already been sold. Would it be appropriate to use the binomial distribution under these conditions? Why or why not?
Describe the difference between sample and a sampling distribution. Your reply must be in complete sentences and you may use sketches to help you.
Formulate the null and alternative hypotheses. Determine the criterion for rejection or non-rejection of the null hypothesis.
Create a set of data that can be modeled as a polynomial function. Please provide a reference to the data. Plot the data using Microsoft Excel including the equation for the fit. Discuss how closely the data seem to match to the best fit line.
Determine the sample size needed in order to be 99% confident that the sample proportion of the current customer accounts is within .03 of the true proportion of all current accounts for this company.
Perform a two-sample z-test for proportions to test if men are more likely than women to make online purchases of books.
University of Waterloo are much susceptible to hypnosis which University of Tennessee undergraduates. Set up H0 and Ha for the test.
Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
A car rental office checks out an average of 30 cars per day with a standard deviation of 8 cars. If a sample of 25 days of operation is selected and the sample mean is computed.
You wish to do a community needs assessment survey of a community to find out how much office space is needed by professionals in the community.
Binomial distribution for large values of the number of trials, n. Suppose that Y has a binomial distribution with n trials and probability of success on any one trial denoted by p. How we can obtain P (Y B)?
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