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The distribution of weights of American male adults is approximately normal with a mean of 191 lbs. and a standard deviation of 20 lbs. Using the 68-95-99.7 rule. What percent of males weigh more than 211 lbs?
What is the probability that a randomly chosen employee is an Administrator if the employee has the opportunity of gaining promotion next year?
Parents collected a simple random sample of the times that 81 college students required to earn their bachelor's degrees. The sample has a mean of 4.8 years and a standard deviation of 2.2 years. Use a 0.05 significance level to test the claim tha..
Point is uniformly distributed in the unit sphere in three dimensions. a) Determine the marginal densities of the x, y, and z coordinates.
A survey of 10 different suburbs in Dallas Texas found the average gasoline to be $ 1.294 a gallon with a standard deviation of $ .0526. What is the critical value using a=.05 and what is the test value.
Describe the meaning of alternatives, criteria and states of nature. How are they utilized in decision analysis?
Using the data, construct a 95% lower confidence interval on mean battery life. Why would the manufacturer be interested in a one-sided confidence interval?
The data collected was for each car for each type of fuel. Performance was measured in miles per gallon. Perform an ANOVA test and state the results.
The average amount of insulation in the sample of household is 12 inches. The sample standard deviation is 15 inches. Set up and interpret a 95% confidence interval.
One grand prize of $600 and two consolation prizes of $100 each will be awarded. Jeremy purchases one ticket. Find his expected value. Show your work for full credit.
College is 0.74. A random sample of 280 high school seniors is surveyed. Describe the distribution of the number of students in the sample of 289 that will not attend college.
What is the point estimate of the difference between the population mean expenditure for males and the population means expenditure for females?
The sensitivity of a test is the probability that a person having the disease will test positive (indicating the person has the disease, i.e., it's the probability the test will pick up the fact that a person has the disease).
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