Weights before (lbs)Weights after (lbs)160161175159160168169184165169d=before-after-8-8-9-6-9You plan to test to see if on average, men gained weight after a month long strength training regimen. Youlet:x1 = weight before and x2 = weight after, and let d = æ1 – x2.Assume that weights follow a normal dis!lribution.Find the following.Round to two decimals.a. d =b. sd =c. The claim being tested is:Od >0O µd < 0O ui > µzO µa > 0Od <0Submit QuestionSearch or type URL38.LO

Weights before (Ibs) Weights after (Ibs) 160 161 175 159 160 168 169 184 165 169 d=before-after -8 -8 -9 -6 -9 You plan to test to see if on average, men gained weight after a month long strength training regimen. Yc let: T1 = weight before and æ2 = weight after, and let d = x1 – #2. %3D Assume that weights follow a normal dis!ribution. Find the following.Round to two decimals. a. d b. Sd = %3D c. The claim being tested is: od >0 O ud < 0 Ομι > μ O Hd > 0 0 > PO. Submit Question

Weights before (Ibs) Weights after (Ibs) 160 161 175 159 160 168 169 184 165 169 d=before-after -8 -8 -9 -6 -9 You plan to test to see if on average, men gained weight after a month long strength training regimen. Yc let: T1 = weight before and æ2 = weight after, and let d = x1 – #2. %3D Assume that weights follow a normal dis!ribution. Find the following.Round to two decimals. a. d b. Sd = %3D c. The claim being tested is: od >0 O ud < 0 Ομι > μ O Hd > 0 0 > PO. Submit Question

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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You are the foreman of the Bar-S cattle ranch in Colorado. A neighboring ranch has calves for sale, and you are going to buy some calves to add to the Bar-S herd. How much should a healthy calf weigh? Let x be the age of the calf (in weeks), and let y be the weight of the calf (in kilograms). x 3 3 9 16 26 36 y 47 51 77 100 150 200 Complete parts (a) through (e), given Σx = 93, Σy = 625, Σx2 = 2327, Σy2 = 83,239, Σxy = 13,687, and r ≈ 0.998. Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answers for x and y to two decimal places. Round your answers for a and b to three decimal places.) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained?…