(d) Interpret the hypotheses H: Bo + 1268, = 80 and H: Bo + 126B, < 80.Assuming the filtration rate is 126 kg-DS/m/h, we would test to see if the average moisture content of the compressed pellets is less than80%.Carry out a hypothesis test at significance level 0.01.Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)t =P-value =State the conclusion in the problem context.O Reject Ho: There is significant evidence to prove that the true average moisture content for a filtration rate of 126 kg-DS/m/hr is less than 80%.O Fail to reject Hp: There is significant evidence to prove that the true average moisture content for a filtration rate of 126 kg-DS/m/hr is less than 80%.O Reject Hn. There is not significant evidence to prove that the true average moisture content for a filtration rate of 126 kg-DS/m/hr is less than 80%.O Fail to reject Hn: There is not significant evidence to prove that the true average moisture content for a filtration rate of 126 kg-DS/m/hr is less than 80%.You may need to use the appropriate table in the Appendix of Tables to answer this question. Japan's high population density has resulted in a multitude of resource-usage problems. One especially serious difficulty concerns waste removal. The article "Innovative Sludge Handling Through Pelletization Thickening"t reported the development of a new compression machine for processing sewage sludge. An important part of theinvestigation involved relating the moisture content of compressed pellets (y, in %) to the machine's filtration rate (x, in kg-DS/m/hr). Consider the following data.125.4 98.3 201.6 147.2146.0 124.5 112.3 120.2161.1178.8y77.9 76.981.380.078.178.577.477.279.980.4159.4 145.7 74.9 151.5 144.2124.8 198.6 132.6 159.6 110.779.779.2 76.978.179.678.381.776.879.178.5Relevant summary quantities arex; = 2817.4 y, = 1575.5, x2 = 415,815.84, xy, = 222,698.08, y? = 124,149.53. Also, x = 140.87o, y = 78.78, S = 18,928.7020, s = 757.395, and SSE = 9.222. The estimated standard deviation is o = 0.716 and the equation of the least squares line is y = 73.140 + 0.040x.Consider the filtration rate-moisture content data introduced above.

Answered: Image /qna-images/answer/c6cfa3a6-188b-45cf-9c98-4dbb9648de97.jpg

Answered: (d) Interpret the hypotheses H: Bo +…

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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