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A scientist looking into the effect of smoking on heart disease has chosen a large random sample of smokers and of nonsmokers. She plans to study these two groups for 5 years to see if the number of heart attacks among the members of the smokers' group is significantly greater than the number among the nonsmok- ers. Such a result, the scientist feels, should be strong evidence of an association between smoking and heart attacks. Given that
(a) older people are at greater risk of heart disease than are younger people; and
(b) as a group, smokers tend to be somewhat older than nonsmokers, would the scientist be justified in her conclusion? Explain how the experi- mental design can be improved so that meaningful conclusions can be drawn.
the mean salary for the clearing department at ameriprise financial is 42000.00 with a standard deviation of 8000.00.
General Motors pays for employee education. The HR director would like to conduct a study on the average GPA of employees who have used this benefit to complete their degrees using a sample of education records over the past 10 years.
suppose x has a continuous uniform distribution over the interval -1 1.a determine the mean variance and standard
The U.S. Commission of Crime wishes to estimate the fraction of crimes related to firearms in an area with one of the highest crime rates in the country.
a financial analyst claims that the return rate of a 15-year bond has a standard deviation of 6.8. determine whether
We say that two things have a positive relationship if they move in the same direction, or as one thing increases, so does the other. Or if one thing decreases, so does the other.
In other words, both variables have the same mean but different standard deviations. Draw rough sketches of the two normal curves on the same graph.
Determine which is the dependent variable Y and which is the independent variable X. Explain your reasoning. Draw a scatterplot and indicate the relationship if any. Explain. Compute the least-squares regression equation. Show major line items of you..
given that the scores on a medical test follow a normal distribution with a mean of 460 and a standard deviation of
Abnormalities that might lead to cancer. Provide a descriptive statistic that could be used to estimate the number of women out of 1000 in this population.
What kind of model is the above model and what factors are un-estimable? What is the resolution and why - determine the active factors that affect the light intensity.
In a previous example about the body mass index of young women we developed a 95% confidence interval for the mean body mass index
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