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The goal of a study by Klinger et al. was to determine how symptom recognition and perception influence clinical presentation as a function of race. They characterized symptoms and care-seeking behavior in African-American patients with chest pain seen in the Emergency Department. One of the presenting vital signs was systolic blood pressure. Among 157 African-American men, the mean systolic blood pressure was 146mm Hg with a standard deviation of 27. We wish to know if, on the basis of these data, we may conclude that the mean systolic blood pressure for a population of African-American men is greater than 140.
The monthly utility bills are normally distributed with a mean value of $130 and a standard deviation of $15.
The average hourly wage of workers in a fast food restaurant is $5.85 with a standard deviation of $0.35. Assume that the distribution is normal.
The pooled variance of two samples is:
The payouts for the Powerball lottery and their corresponding odds arean probabilities of occurrence are shown below. The price of a ticket is $1.00. Find the mean and standard deviation of the payout.
Appalachian Coal mining believes it can enhance labor productivity and therefore net revenue by reducing air pollution in its mines. It estimates that the marginal cost function for reducing pollution by installing additional capital equipment is.
Explain this result (including the underlying logic of the computations) to a person who understands hypothesis testing involving a single sample and a known population, but knows nothing about t tests.
Consider a random variable Y, and a constant theta such that (1/theta)Y is distributed exponentially. Derive the lower and upper bounds for a 90% confidence interval for theta (These will be a function of y). Noe that theta=1/lambda where lambda i..
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 ..
If absolute value of test statistic is less than critical value in hypothesis test decision is to?
The data show that 48 of the doctors picked Brand X. If these data are evaluated using a chi-square test for goodness of fit, what is the expected frequency for Brand X?
When the non-parametric statistics utilized? Write down an example.
A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. Is there evidence of an improvement on the final?
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