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a) Construct a 99% confidence interval for the average amount of chemical that will dissolve in 100 grams of water at 50°C.

a) Construct a 99% confidence interval for the average amount of chemical that will dissolve in 100 grams of water at 50°C.

MATLAB: An Introduction with Applications
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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K The amounts of a chemical compound y that dissolved in 100 grams of water at various temperatures x were recorded. The data were coded and recorded in the accompanying table. Use this information to answer parts a and b. Click here to view the table of chemical compounds Click here for page 1 of the table of critical values of the t-distribution. Click here for page 2 of the table of critical values of the t-distribution. a) Construct a 99% confidence interval for the average amount of chemical that will dissolve in 100 grams of water at 50°C. Hyso (Round to three decimal places as needed.)
Transcribed Image Text:K The amounts of a chemical compound y that dissolved in 100 grams of water at various temperatures x were recorded. The data were coded and recorded in the accompanying table. Use this information to answer parts a and b. Click here to view the table of chemical compounds Click here for page 1 of the table of critical values of the t-distribution. Click here for page 2 of the table of critical values of the t-distribution. a) Construct a 99% confidence interval for the average amount of chemical that will dissolve in 100 grams of water at 50°C. Hyso (Round to three decimal places as needed.)
Chemical compound data x (°C) 15 30 45 60 75 5 y (grams) 15 24 39 46 58 3 12 25 1 53 53 5123 26 41 14 38 47 56 Print fitted linear regression equation y=3.9365 +0.7187x 2 S = 8.11 x=37.5 Sxx = 11812.50 Done I K Ive in 1
Transcribed Image Text:Chemical compound data x (°C) 15 30 45 60 75 5 y (grams) 15 24 39 46 58 3 12 25 1 53 53 5123 26 41 14 38 47 56 Print fitted linear regression equation y=3.9365 +0.7187x 2 S = 8.11 x=37.5 Sxx = 11812.50 Done I K Ive in 1
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