A production supervisor at a major chemical company wishes to determine whether a new catalyst, catalyst XA-100, increases the mean hourly yield of a chemical process beyond the current mean hourly yield, which is known to be roughly equal to, but no more than, 750 pounds per hour. To test the new catalyst, five trial runs using catalyst XA-100 are made. Assuming that all factors affecting yields of the process have been held as constant as possible during the test runs, it is reasonable to regard the five yields obtained using the new catalyst as a random sample from the population of all possible yields that would be obtained by using the new catalyst. Furthermore, we will assume that this population is approximately normally distributed.
Regard the sample of 5 trial runs for which s = 19.56 as a preliminary sample. Determine the number of trial runs of the chemical process needed to make us: (Round up your answers to the next whole number.)
(a) 95 percent confident that x ¯ x¯ , the sample mean hourly yield, is within a margin of error of 8 pounds of the population mean hourly yield µ when catalyst XA-100 is used. n trial runs
(b) 99 percent confident that x ¯ x¯ is within a margin of error of 5 pounds of µ. n trial runs
A production supervisor at a major chemical company wishes to determine whether a new catalyst, catalyst...
A production supervisor at a major chemical company wishes to determine whether a new catalyst, catalyst XA-100, increases the mean hourly yield of a chemical process beyond the current mean hourly yield, which is known to be roughly equal to, but no more than, 750 pounds per hour. To test the new catalyst, five trial runs using catalyst XA-100 are made. Assuming that all factors affecting yields of the process have been held as constant as possible during the test...
A production supervisor at a major chemical company wishes to determine whether a new catalyst, catalyst XA-100, increases the mean hourly yield of a chemical process beyond the current mean hourly yield, which is known to be roughly equal to, but no more than, 750 pounds per hour. To test the new catalyst, five trial runs using catalyst XA-100 are made. Assuming that all factors affecting yields of the process have been held as constant as possible during the test...
value: 1.11 points A production supervisor at a major chemical company wishes to determine whether a new catalyst, catalyst XA-100, increases the mean hourly yield of a chemical process beyond the current mean hourly yield, which is known to be roughly equal to, but no more than, 750 pounds per hour. To test the new catalyst, five trial runs using catalyst XA-100 are made. Assuming that all factors affecting yields of the process have been held as constant as possible...
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A new catalyst is being investigated for use in the production of a plastic chemical. Ten batches of the chemical are produced. The mean yield of the 10 batches is 72.5% and the standard deviation is 5.6%. Assume the yields are independent and approximately normally distributed. Find a 99% confidence interval for the mean yield when the new catalyst is used. Round the answers to three decimal places. The 99% confidence interval is ( , ).
In an article in Accounting and Business Research, Carslaw and Kaplan investigate factors that influence “audit delay” for firms in New Zealand. Audit delay, which is defined to be the length of time (in days) from a company’s financial year-end to the date of the auditor’s report, has been found to affect the market reaction to the report. This is because late reports often seem to be associated with lower returns and early reports often seem to be associated with higher...
Suppose you plan to take an SRS from a population of men to determine the mean height for that population. Suppose you know that the standard deviation of the population distribution is ? = 2.8 inches. 1. What would be your margin of error for a 90% level of confidence if you were planning to select 36 men for your sample? 2. What would be your margin of error for a 95% level of confidence if you were planning to...
5. A manufacturing company produces electric insulators. To test the strength of the insulators, you apply a force to an insulator until it breaks. You measure the force by observing! how many pounds are required to break the insulator. You collect the force data for a random sample of 30 insulators selected for this experiment. The data is in the Excel file for this assignment in the tab Force. a. Construct a 95% confidence interval estimate for the population mean...
Allen's hummingbird (Selasphorus sasin) has been studied by zoologist Bill Alther.† Suppose a small group of 18 Allen's hummingbirds has been under study in Arizona. The average weight for these birds is x = 3.15 grams. Based on previous studies, we can assume that the weights of Allen's hummingbirds have a normal distribution, with σ = 0.36 gram. (a) Find an 80% confidence interval for the average weights of Allen's hummingbirds in the study region. What is the margin of...
1) Out of 100 people sampled, 60 preferred Candidate A. Based on this, estimate what proportion of the voting population (pp) prefers Candidate A. Use a 99% confidence level, and give your answers as decimals, to three places. _____ < P < ______ 2) You work for a marketing firm that has a large client in the automobile industry. You have been asked to estimate the proportion of households in Chicago that have two or more vehicles. You have been...