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Consider Obama's health care plan. There are = #s of males and females. 50% of the females approve (A) of the plan and 70% of the males do not approve (N) of the plan. If a simple random sample of 1 person is selected from the population determine:
P(A/M)
P(A)
P(F U A)
P(F/A)
Show that theta~ = u(X) is an unbiased estimator of theta, where u(0) = 1 and u(x) = 0 if x =1,2, ... Compare the MSEs of theta(hat) and theta~ for estimating theta = e^(-m) when m=1 and m=2
A random sample of 400 observations produced a sample proportion of 0.32. What is the standard error to construct a 99.5% confidence interval.
In government data, a household consists of all occupants of a dwelling unit, while a family consists of two or more persons who live together and are related by blood or marriage. So all families form households, but some households are not famil..
Compute the mean and standard deviation of the scores and use these for the calculations below. Show your calculations on the back of his page.
Suppose the likelihood that any flight on Northwest Airlines arrives within 15 minutes of scheduled time is .90. We choose four flights from yesterday for study.
An advantage of the permutation test over the t test for a difference in means, can Permutation tests be used for tests when we believe the two populations differ under the null hypothesis.
An investment firm with 10,000 clients would like to accurately forecast the average dollar amount their current customer will deposit over the coming year.
A linear correlation coefficient very close to 0 implies that there is a linear correlation between the averages, but a correlation between the averages does not imply a correlation between individuals as the conclusion incorrectly suggest.
Given that the student you choose is a senior, find out the probability of selecting a non-senior?
Explain how the Central Limit Theorem can help you convince your boss that while you can't get rid of sampling error the results from your statistical work (that is based on sampling) can still be useful.
Suppose that 1% of all people have a particular disease. A test for the disease is 99% accurate. This means that a person who test positive for the disease has a 99% chance of actually having the disease
In a certain distribution of numbers the mean is 60 with a standard deviation of 8. Use Chebyshevs theorum to tell the probability that a number lies in each interval.
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