An article in Journal of Food Science [2001, Vol.66(3), pp. 472-477] reported on a study of potato spoilage basedon different conditions of acidified oxine (AO), which is a mix-ture of chlorite and chlorine dioxide. The data follow:AO Solution (ppm)% Spoilage501005060100603030200605029400253015(a) Do the AO solutions differ in the spoilage percentage? Useα = 0.05.(b) Find the P-value of the test. Estimate the variability due torandom error.(c) Plot average spoilage against AO solution and interpret theresults. Which AO solution would you recommend for usein practice?(d) Analyze the residuals from this experiment.

Given that By using excel single factor anova

Answered: An article in Journal of Food Science…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 8E

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Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?
An article in Journal of Food Science (2001, Vol.66, No. 3, pp. 472-477) studied potato spoilage based on different conditions of acidified oxine (AO). which is a mixture of chlorite and chlorine diaxide. The data are shown below: AO Solution (ppm) % Spoilage 100 50 60 50 100 60 30 30 200 60 50 29 400 25 30 15 (a) Do the AO solutions differ in the spoilage percentage? Use a = 0.05. There is for significant differences in the spoilage percentage when using different AO solutions. (b) Find the P-value of the test. Estimate the variability due to random error. P-value = - (Round your answer to three decimal places.) MSE =1 - (Round your answer to the nearest integer.) (c) Plot average spoilage against AO solution and interpret the results. Which AO solution would you recommend for use in practice? v AO solution will be used. (d) Analyze the residual plots to determine model adequacy. Does the assumption of normality seem reasonable? Does the assumption of constant variance seem…
An article in Journal of Food Science (2001, Vol. 66, No. 3, pp. 472-477) studied potato spoilage based on different conditions of acidified oxine (AO), which is a mixture of chlorite and chlorine dioxide. The data are shown below: AO Solution (ppm) % Spoilage 50 100 50 60 100 60 30 30 200 60 50 29 400 25 30 15 (a) Do the AO solutions differ in the spoilage percentage? Use a = 0.05. There is for significant differences in the spoilage percentage when using different AO solutions. evidence (b) Find the P-value of the test. Estimate the variability due to random error. P-value - i 0.073 (Round your answer to three decimal places.) MS - i 327 (Round your answer to the nearest integer.) (c) Plot average spoilage against AO solution and interpret the results. Which AO solution would you recommend for use in practice? 400 ppm v AO solution will be used. (d) Analyze the residual plots to determine model adequacy. Does the assumption of normality seem reasonable? Does the assumption of…
An article in Journal of Food Science (2001, Vol. 66, No. 3, pp. 472-477) studied potato spoilage based on different conditions of acidified oxine (AO), which is a mixture of chlorite and chlorine dioxide. The data are shown below: AO Solution (ppm) % Spoilage 50 100 50 60 100 60 30 30 200 60 50 29 400 25 30 15 (a) Do the AO solutions differ in the spoilage percentage? Use a = 0.05. There is for significant differences in the spoilage percentage when using different AO solutions. (b) Find the P-value of the test. Estimate the variability due to random error. P-value -i (Round your answer to three decimal places.) MSE - i (Round your answer to the nearest integer.) (c) Plot average spoilage against AO solution and interpret the results. Which AO solution would you recommend for use in practice? AO solution will be used. residual plots to determine model adequacy. 400 ppm 50 ppm 200 ppm 100 ppm mption of normality seem reasonable? Does the assumption of constant variance seem reasonable?

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