Use a hypothesis test and ANOVA, stick to the usual methods and avoid using the p-valuetechnique.An experiment was carried out to investigate the effects of temperature and oven type on the lifeof a certain component. In the experiment, four different kinds of ovens and three differenttemperatures were employed. Twenty-four pieces were allocated at random, two to eachtreatment combination, and the following findings were reported.Тетрerature ( F)Oven,Oven,Oven,Oven500227214225260221259236229550187181232246208179198273600174198178206202194213219Using a 0.01 level of significance, test the hypothesis that:a. Different temperatures have no effect on the life of the component;b. Different ovens have no effect on the life of the component;c. The type of oven and temperature do not interact.

Given: Temperature oven1 oven2 oven3 oven4 temp 500 227 214 225 260 221 259 236 229…

Answered: An experiment was carried out to…

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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The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.
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Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: x 1 2 3 4 5 y 15.8 17.3 14.4 19.6 20.0 Σx = 15; Σy = 87.1; Σx2 = 55; Σy2 = 1,540.45; Σxy = 272 (a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your least-squares estimates to three decimal places.) x = y = b = ŷ = + x
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