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A rare disease has just broken out. Doctor Johnson is trying to help, but while treating patients he might expose himself to the disease. He takes many precautions, but he doesn't know how much he's been exposed. Let the number x represent Doctor Johnson's exposure level. He doesn't know it for sure, but he assigns a uniform distribution to it(between 0 and 1). He also assigns a probability
{Doctor Johnson gets disease | x} = x^2
Doctor Johnson has just come down with the disease. What is his new distribution for his exposure level?
What is the value of the mean square for error (the "within groups" mean square that would be reported in the ANOVA test, and what is the value of the mean square for treatments (the "between groups" mean sqaure) that would be reported in the ANOVA ..
There are four conditions/requirements that must be met in order to perform simple linear regression. For each of the conditions below, choose the technique that should be used to determine whether or not that the condition is met.
The standard deviation of the sample is $3,000. Interpret your findings.
Use the normal distribution to approximate the following probability: According to the most recent Davenport student profile, 47% of students have children under 17 living at home with them.
State the correct decision and give justification for your decision.
Assume a population standard deviation of 450-kilowatt hours. Determine the standard error of the mean.
If a time series is stationary without a linear trend or the seasonal component, which of the following forecasting methods may be suitable.
Using sample, determine a 98% confidence interval for mean weight of whole daily output.
Based on this sample information, develop a 90 percent confidence interval for the population mean yearly premium.
Give the 90% confidence interval for the mean score in the population of all young women.
The probability of getting a promotion and a raise is 0.25. What is the probability of getting a raise.
He randomly selects a sample of 10 items of the procduct from a large lot ready to be shipped. He (given that) the true proportion of perfect condition items is only 80% what is the probability that the lot will not be shipped?
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