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an engineering firm is evaluating their b ack charges. they originally believed their average back charge was $1800. they are concerned that the true average is higher, which could hurt their quarterly earnings. They randomly select 40 customers, and calculate the corresponding sample mean back charge to be $1950. If the standard deviation of back charges is $500, and alpha =0.05, should the engineering firm be concerned? Perform an appropriate hypothesis test, showing the necessary calculations and or explaining the process used to obtain the results.
If the company does not want to replace more than 5% of the televisions?
A point Y is selected at random from interval (0,1). Then another point X is chosen at random from the interval (0,Y). Find probability density function for X.
Conduct the following test using 95% level of confidence.
A safety engineer claims that only 40% of all workers wear safety helmets when they eat lunch at the workplace. Assuming that his claim is right, find the probability that at most 4 out of 6 workers randomly chosen will be wearing their helmets wh..
Sample with size n = 100 has mean = 30. Assuming the population standard deviation is 8, construct 95% confidence interval for population mean.
Supplier B's tires have an average life of 60,000 miles with a standard deviation of 2,000 miles. Which of the following statements is true?
What is the probability that a random person has an IQ between 85 and 115? Find the 90th percentile of the IQ distribution.
If 9 measurements are randomly selected from this population, what is the probability that the sample mean will exceed 104?
Solution utilizing graphical method. Compute the following linear programming problem. Among which of the following points (X, Y) is not a feasible corner point.
What kinds of plots are useful in data screening? What can you do if your data do not meet the assumptions of your statistic?
What is the probability that a particular driver had exactly two speeding violations?
How would I go about finding the probabilities for the following discrete random variables? Among a shipment of 5,000 tires, 1,000 are slightly blemished. If one purchases 10 of these tires, what is the probability that 3 or less (P (x
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