The waiting line at a popular bakery shop can be quite long. Suppose that the waiting time in minutes has probability density functionf(x) = 0.2 · e-0:2-* Calculate the mean and variance for the random variable:E(X) =iV(X) =i

Given The waiting line at a popular bakery shop can be quite long. Suppose that the waiting time in…

Answered: f(x) = 0.2 · e-02x Calculate the mean…

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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State Per Capita Personal Income ($) Birth Rate Delaware 28,493 13.9 Maryland 28,674 13.0 District of Columbia 35,704 15.7 Virginia 26,109 13.2 18,724 11.3 West Virginia 14.2 23.168 North Carolina 13.6 20,508 South Carolina 15.8 23,822 Georgia 13.1 24,799 Florida (a) The Ts(in 3 significant figures) for the given data is equal to Blank 1. (b) The typre of relation (negative, positve, or no relation) that exist between per capita personal income and birt rate is Blank 2
Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 43 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that σ = 7.50 ml/kg for the distribution of blood plasma. (a) Find a 99% confidence interval for the population mean blood plasma volume in male firefighters. What is the margin of error? (Round your answers to two decimal places.) lower limit 1 upper limit 2 margin of error 3 (b) What conditions are necessary for your calculations? (Select all that apply.) n is large the distribution of weights is normal σ is known the distribution of weights is uniform σ is unknown (c) Interpret your results in the context of this problem. 1% of the intervals created using…
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f(x) = 0.2 · e-02x Calculate the mean and variance for the random variable: E(X) = i V(X) = i