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1. Suppose the salary of assembly line workers has Normal distribution with mean of $20,000, and standard deviation of $3,000.
a) What is the probability that a randomly selected assembly line worker earns more than $22,000?
b) What is the probability that the average salary of 5 assembly line workers is higher than $22,000?
c) What is the probability that the average salary of 15 assembly line workers is higher than $22,000?
Laura wanted to build a multiple regression model based on advertising expenditures and Coffee Time's price index. Based on the selection of all normal values, she obtained the following:
Assume we interested in relationship between the age of individual, as measured by visits. Suppose after selecting 15 members the observation:
The average number of hours of sleep per night that a college freshman gets is 6.50 with a standard deviation of 1.80 hours. If 35 college freshmen are randomly chosen find the probability that they average at least seven hours of sleep per night.
For each data set, compute and save g(m hat). Then do the following: Plot the histogram of B values of g(m hat)and sqrt(n)*[g(m hat)- g(m )].
At the .10 significance level, can we conclude that less than 88 percent of the orders are delivered in less than 10 minutes. What is the decision rule?
Bryan money to drive to Madison to buy gas for each of his cars since he has to drive there twice a week anyway?
What is the probability that: The amount requested is $80,000 or more?
Sample resulted in mean trading volume = 39.48. Population standard deviation = 15.07. Compute 95% confidence interval for u.
Calculate a 99% confidence interval for the true mean difference between pretreatment and after treatment testosterone levels of young male TBI patients.
Was your test one-tail upper tail, lower tail, or two-tail? Explain why you chose that kind of test in this situation. Explain what your P-value means in this context.
For following two regressions describe and interpret major parts from regression output. write down the difference between two regressions?
If the rods' lengths produced by your line are normally distributed, with a mean equal to the target of 0.2 meters, and a standard deviation of 0.015m, what percentage of rods will be scrapped?
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