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suppose you own a plumbing repair business and employ 15 plumbers. you are interested in estimating the difference in the average number of calls completed per day between two of the plumbers. A random sample of 40 days of plumbers A's work results in a sample average of 5.3 calls, with a population variance of 1.99. A random sample of 37 days of plumber B's work results in a sample mean of 6.5 calls, with a population variance of 2.36. Use this information and a 95% level of confidence to estimate the difference in population mean daily efforts between plumber A and plumber B. Interpret the results. Is it possible that, for these populations of days, the average number of calls completed between plumber A and plumber B do not differ?
Give an example of how you may use multiple regression to answer a question related to the impact of leadership change on employee attitudes scores, teambuilding training and performance outcomes.
As a part of their testing program Sony tests samples of 25 batteries. What can you say about the shape of the distribution of sample mean?
Assume that in a hypothesis test with null hypothesis H 0 : μ = 14.0 at a = 0.05, that a value of 13.0 for the sample mean results in the null hypothesis not being rejected. That corresponds to a confidence interval result of:
It was thought that the national average price per pound for Ospertan Basil Oil in 1999 in the US was $14 per pound. Since that time the Ospertan Basil Oil Cartel (OBOC) has tried to limit the supply of Ospertan Basil Oil reaching the U.S in order..
Draw the scatter diagram. Does it appear that x and y are related? If so, how? Test to determine whether there is evidence of a linear relationship.
Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to i..
What is the p-value associated with the above sample result?
Let p represent the population proportion of all numbers in the corporate file that have a first nonzero digit of 1. What is the value of the sample test statistic? (Round your answer to two decimal places.)
If two events are collectively exhaustive, what is the probability that both occur at the same time?
If 9 loads are chosen at random for a weight check, find the probability that the mean weight of those loads is less than 47.6 tons. Assume that the variable is normally distributed.
What is the difference between common cause variation and special cause variation?
What are examples of the populations parameters we are trying to estimate for sample data?
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