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The mortality experience of 8146 male employees of a research engineering and metal fabrication plant in New York, was studied from 1946-1981. Potential workplace exposures included welding fumes, cutting oils, asbestos, organic solvents, and environmental ionizing radiation, as a result of waste disposal during the Manhattan project in World War II. Comparisons were made for specific causes of death between mortality rates in workers and U.S white male mortality rates from 1950-1978.
Suppose that 17 deaths from cirrhosis of the liver were observed among workers who were hired prior to 1946 and who had worked in the plant for 10 or more years, whereas 6.3 were expected based on US white-male mortality rates.
Perform a significance test to assess whether there is an association between mortality from cirrhosis of the liver and duration of employment in the group hired after 1945. Report a p- value.
Read the data from the fictitious research study regarding diabetes and alcohol consumption, and analyze and interpret the results.
Four different assembly processes were under consideration. Sixteen workers were randomly assigned to the four processes, eight per process. The number of correctly assembled units in an eight-hour work shift was recorded:
In hypothesis testing when is a two-tail test used in lieu of a one-tail test?
In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the resulting damage (in dollars) was estimated.
Consider the following news headline, "Cigarette Smokers Make Lower College Grades than Nonsmokers" The news article goes on to say that researchers at a university collected information on rate of cigarette smoking (total number of cigarettes sm..
For a sample of 138 independent observations from a normal distribution of unknown μ and variance σ 2 = 2.6, the sample mean is 52.3. What is the width of the 95% confidence interval for μ?
If the sample size (n) is large, and the sample is a random sample, then the distribution of the sample mean x-bar is approximately a:
Simulate 50 observations from a normal distribution with mean 0 and standard deviation 1. make a normal plot.
A company uses triple time estimates to determine expected completion time for all of their projects. If they determined the expected time to complete a project is 25 weeks with a variance of of 9 weeks
Dr Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different than the historical grade distribution.
We want to test the hypothesis that the population variances are equal.
Construct a frequency distribution of the sample mean, and plot a histogram of this distribution. Use the central limit theorem to calculate and identify the sampling distribution of the sample mean.
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