2 Fifteen (15) samples of water were collected from a certain treatment facility in order to gain some insight regarding the amount ofcoliform in the urban pipeline. The concentration of the coliform is measured in parts per million (ppm), per liter. Suppose that themean at the treatment facility is not as important as the upper extreme of the distribution of the amount of coliform detected. Theconcern is whether the concentration of coliform is too large. Readings for the 15 water samples gave a sample mean of 3.84 ppm perliter and a standard deviation of 3.07 ppm per liter. Assume that the readings are a random sample from a normal distribution.Calculate a Prediction Interval (upper 95% prediction limit) and a Tolerance Limit (95% upper tolerance limit that exceeds 95% of thepopulation values). Interpret both; that is, tell what each communicates about the upper extreme of the distribution of coliform at thesampling in the treatment facility.O a. Prediction Upper Limit: Xp+1<10.597. This means that a new observation will have a chance of 95% to fall below the upper limit.Tolerance Upper Limit: 11.72. Hence, we are 95% confident that a limit of 11.72 will contain 95% of the coliform measurement in the watersamplesOb.Prediction Upper Limit: Xn+1<9.398. This means that a new observation will have a chance of 95% to fall below the upper limit. ToleranceUpper Limit: 11.86. Hence, we are 95% confident that a limit of 11.86 will contain 95% of the coliform measurement in the water samplesO C. Prediction Upper Limit: Xn+1< 10.641. This means that a new observation will have a chance of 95% to fall below the upper limit.Tolerance Upper Limit: 12.91. Hence, we are 95% confident that a limit of 12.91 will contain 95% of the coliform measurement in the watersamplesO d. Prediction Upper Limit: Xn+1<9.424. This means that a new observation will have a chance of 95% to fall below the upper limit. ToleranceUpper Limit: 11.72. Hence, we are 95% confident that a limit of 11.72 will contain 95% of the coliform measurement in the water samples

Given information: Sample size, n=15 Upper Prediction limit formula: df=n-1=15-1=14 Confidence…

Fifteen (15) samples of water were collected from a certain treatment facility in order to gain some insight regarding the amount of coliform in the urban pipeline. The concentration of the coliform is measured in parts per million (ppm), per liter. Suppose that the mean at the treatment facility is not as important as the upper extreme of the distribution of the amount of coliform detected. The concern is whether the concentration of coliform is too large. Readings for the 15 water samples gave a sample mean of 3.84 ppm p liter and a standard deviation of 3.07 ppm per liter. Assume that the readings are a random sample from a normal distribution.

Fifteen (15) samples of water were collected from a certain treatment facility in order to gain some insight regarding the amount of coliform in the urban pipeline. The concentration of the coliform is measured in parts per million (ppm), per liter. Suppose that the mean at the treatment facility is not as important as the upper extreme of the distribution of the amount of coliform detected. The concern is whether the concentration of coliform is too large. Readings for the 15 water samples gave a sample mean of 3.84 ppm p liter and a standard deviation of 3.07 ppm per liter. Assume that the readings are a random sample from a normal distribution.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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