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In 1947, the Framingham Study (Kannel, Dawber, Kagan, Revotskie7 &. Stokes, 1961) examined the development of heart disease in healthy volunteers. Since then, it has provided many insights into the risk: factors for various types of heart disease.
This discussion exercise considers data from one of its earliest published reports.
Table 6 in the original published report describes the Incidence of coronary heart disease (CHD) after six years of follow-up in men and women who were 40-59 years old at the time of their Initial examination.
The data for men is summarized as follows
Using the data for men calculate the risk or Incidence proportion of developing CHD by cholesterol level
Calculate the incidence proportion or the risk ratio that compares group 1 to group 0, and calculate the Incidence proportion or the risk ratio that compares group 2 to group 0. Then post a summary of your findings.
Create a hypothesis and perform a series of tests to determine if there is any fundamental difference in the findings.
Which component of a time series is most likely to occur? Which component has a pattern that must be complete in a single year and repeat from year to year?
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
For any distribution the score that separates the highest 10% from the rest of scores is called.
High levels of cockpit noise in an aircraft can damage the hearing of pilots who are exposed to this hazard for many hours
The standard deviation of the time to complete the entire homework assignment
Explain why we need to use the t distribution. What assumption do you need to make?
If we select a crew member at random, what is the probability the crew member earns:
If a single test is run and indicates that oil is present, what is the revised probability that oil is actually present?
Determine odds student gets more than 14 questions correct? Determine the odds student gets exactly 12 questions correct?
An internal study by the Technology Services department at Lahey Electronics revealed company employees receive an average of two emails per hour. Suppose the arrival of these emails is approximated by the Poisson distribution.
Assume the population standard deviations are not the same. At the .05 significance level, is there a difference in the mean waiting time?
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