Stats and Probability MA confidence interval is desired for the true average stray-load loss μ (watts) for a certaintype of induction motor when the line current is held at 10 amps for a speed of 1500 rpm.Assume that stray-load loss is normally distributed with σ= 3.0.a)b)a)=Compute a 90% confidence interval for μ when n = 100 and 58.3.However, we are also concerned about the heating issues due to high stray-load loss. Compute a 90% upper confidence bound for μ when n = 100 and x =58.3.We plan to redo the assessment again. How large must n be if the width ofthe 99% confidence interval for μ is to be at most 1.0?

Step 1:Given Data:Population standard deviation (σ)=3.0 wattsSample mean (xˉ)=58.3 wattsSample size…

Answered: M A confidence interval is desired for…

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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I know we are supposed to utilize the Central Limit Theorem due to the parameters given in the problem. I'm just not sure how to begin solving it.
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Q3- A- Find the critical (t) values for: 1- a= 0.01 with d.f. = 15 for a right-tailed t test. %3D 2- a= 0.01 with d.f. = 20 for a left-tailed t test. %3D 3- a= 0.01 with d.f.= 18 for two-tailed t test.
A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1,300 KN/m². The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed with = 67. Let u denote the true average compressive strength. (a) What are the appropriate null and alternative hypotheses? ⒸHO: μ> 1,300 Ha: M= 1,300 O Ho: M1,300 Ha: M= 1,300 Ho: M1,300 H₂M 1,300 O Ho: M1,300 Hai 11,300 OHM 1,300 HM 1,300 (b) Let X denote the sample average compressive strength for n = 15 randomly selected specimens. Consider the test procedure with test statistic X itself (not standardized). What is the probability distribution of the test statistic when H is true? O The test statistic has a gamma distribution. O The test statistic has a normal distribution. O The test statistic has an exponential distribution. O The test…
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Define the asymptotically efficient GMM (Generalized method of moments) estimator?

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