12345I0.700.600.700.600.50FactorsII-0.600.40-0.500.500.40Ixx'0.900.800.830.830.88Use the table of loading coefficients and reliability coefficients above to answer question(s). The non-pertinent variance of variable 5 is

The nonpertinent variance of a variable refers to the part of the variance that is not explained by…

Answered: 1 2 3 4 5 I 0.70 0.60 0.70 0.60 0.50…

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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7 Explosive devices used in mining operations produce nearly circular craters when detonated. The radii of these craters are exponentially distributed with mean 6 feet. Find the mean, in square feet, and variance of the areas produced by these explosive devices. mean variance sq ft
Hocument/d/1ho6gSyZTqOTIUok211PsszM1fL7Jz4K2HPR4WWL4x1g/edit sert Format Tools Extensions Help 2 100% D 1 ▼ Normal text 2 1 W L #3 E 2 $ Arial A quality control expert at Glotech computers wants to test their new monitors. The production manager claims they have a mean life of 83 months with a variance of 100. If the claim is true, what is the probability that the mean monitor life would be greater than 81.3 months in a sample of 89 monitors? Round your answer to four decimal places. R % 5 T ^ 10.5 + 6 Y & B 7 * CO I U 5 8 I A ( 9 ) 0 6 P
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Results of a research claim to predict wind speed at a place with a variance of 4 km/hr or less. A random sample of 24 measurements provides a sample variance of s2 = 4.9. Assuming that the population distribution of wind speed is approximately normal, check the validity of the claim at 5% level of significance using chi-square test.
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Assuming variance > 1, which of the following must be true? The sample variance is calculated based on the sample size rather than the degrees of freedom The data are normally distributed Standard deviation < variance The model will explain more than 50% of the variance of the dependent variable
Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=a+BAGE+YMIL+SENG Where SALES= amount that a vehicle is sold for($000's), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained:
3.Which model do you think is the “best” reduced model? Discuss why you choose this model. Analysis of Variance Table (Step back model) Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 17.1136 0.0003079 *** sqft 1 35364 35364 28.8196 1.134e-05 *** sd 1 5961 5961 4.8576 0.0362339 * unts 1 8678 8678 7.0722 0.0130049 * gar 1 33364 33364 27.1899 1.713e-05 *** cp 1 7641 7641 6.2269 0.0189934 * Residuals 27 33131 1227 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Step forward model: Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 16.6255 0.000406 *** sqft 1 35364 35364 27.9976 1.757e-05 *** sd 1 5961 5961 4.7191 0.039517 * unts 1 8678 8678 6.8705 0.014697 * gar 1 33364 33364 26.4144 2.599e-05 *** cp 1 7641 7641 6.0493 0.021176 *…

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1 2 3 4 5 I 0.70 0.60 0.70 0.60 0.50 Factors II -0.60 0.40 -0.50 0.50 0.40 I'xx' 0.90 0.80 0.83 0.83 0.88 Use the table of loading coefficients and reliability coefficients above to answer question(s). The non- pertinent variance of variable 5 is