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State Percentage who smoke Cancer incidence per 100,000 (age-adjusted)
Kentucky 27.4% 498.2
Pennsylvania 22.6% 496.2
Maine 20.9% 508.9
New York 19.9% 469.3
Maryland 19.5% 488.0
Utah 10.5% 405.7
A. Explain why it might be important to look at cancer incidence that is age-adjusted rather than just cancer incidence.
B. Perform simple linear regression on these data and report your finding.
C. Explain the significance of the Pearson correlation coefficient and the coefficient of determination.
It is a striking fact that the first digits of numbers in legitimate records often follow a distribution known as Benford's Law, shown below.
Administrators at a university are planning to offer a summer seminar. It costs $3000 to reserve a room, hire an instructor, and bring in the equipment. Assume it costs $25 per student for the administrators to provide the course materials.
Describe the standard normal distribution. Explain why it can be used to find probabilities for all normal distributions.
The following data represent glucose blood levels(mg/100ml) after a 12 hour fast for random sample of 70 women: Employ 6 classes and make a frequency distribution table.
Use the following data to write the normal equations of the linear regression between Y and X, and find the least squares regression.
The probability distribution of a random variable X is shown below, where X represents the amount of money (in $1,000s) gained or lost in a particular game of Blackjack.
What is the idea of "least squares"? What is the connection between "least squares" and linear regression?
Mention the critical value of test statistic (Or give the p-value of the test.)
how many individuals will I need to sample if I want a 95% margin of error to be no more than 3%, I want to know if the results are significant at = 10%. With the information given.
What is the probability that more than 265 will be relieved of the nasal condition?
Find the power of the test designed to determine if the the new safety equipment is effective when the mean percent reduction is actually 2.3%. Assume that the population standard deviation is 12% and that α is 0.02. What is the power?
A group of investors wants to develop a chain of fast food cafés. In determining potential costs for each facility, they must consider, among other costs, the average monthly cost of electricity.
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