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Question: We know that IQs are normally distributed with a mean of 100 and standard deviation of 15. Suppose you want to verify this, so you take 100 random samples of size four each and, for each sample, find a 95% confidence interval for the mean IQ. You expect that approximately 95 of these intervals will contain the true mean IQ (100) and approximately five of these intervals will not contain the true mean. Use simulation in Excel to see whether this is the case.
The article "Racial Stereotypes in Children's Television Commercials" (J. of Adver. Res., 2008: 80-93) reported the following frequencies with which ethnic characters appeared in recorded commercials that aired on Philadelphia television stations.
the 95 confidence interval for the difference between two treatment means extends from -2.50 to 5.50. based on this
Verify that P(x) is a probability distribution.- What is the probability that returns will be at least 12%?- Find the cumulative distribution of returns.
Do the sample data present sufficient evidence to reject the manufacture's claim? Test using a a=0.05. What is the p-value of the test.
a medical inspector wants to estimate the overall average monthly occupancy rates of the cancer wards in 80 different
now that you are familiar with the basic concepts of statistics what are some examples of when you have seen or heard
Continuing Problem 11.4.5 of the noisy predictor, generate sample paths of Xn and Yn for n = 0, 1,..., 50 with the following parameters:
1. a die is continuously rolled until the total sum of all rolls exceeds 225. what is the probability that at least 55
The initial research proposal will consist of the following SIX (6) items: 1. Identify a business research topic
Verify that for the data in Table 6.6, when testing the hypothesis of homoscedasticity using the R function khomreg, you fail to reject with α = 0.05. Explain why this result is not a satisfactory reason for assuming homoscedasticity.
Let X be the number of cucumbers that Mimi harvests (that is, the number of cucumbers not eaten by rabbits). As we know, the distribution of X is a binomial.
What type of t test should be used to decide if there was a significantly lower number of purchases made while the signs were displayed? Using the results provided, tell me if the results were significant (and why)?
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