3. (Example 3) Suppose a random sample of 45 male firefighters are tested for plasma volume. The sample%3Dmean of x = 37.5 ml/kg (milliliters plasma per kilogram of body weight). Assume o = 7.50 ml/kg. Find thesample size necessary for a 99% confidence level with maximum error of the estimate E=2.50 ml/kg for themean plasma volume in male firefighters. (Reference: Manual of Laboratory and Diagnostic Tests, F.Fischbach).

Given,margin of error(E)=2.50standard deviation(σ)=7.50α=1-0.99=0.01α2=0.005Z0.005=2.58 (from…

Answered: 3. (Example 3) Suppose mean of x =…

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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AA stion list uestion 1 "uestion 2 uestion 3 uestion 4 uestion 5 uestion 6 -uestion 7 4:41 uestion 8 uestion 9 < mylab.pearson.com K Listed below are the measured radiation rates incorresponding to these cell phones: iPhone X, HTC Desire 310, LG G3, Motorola VE465, OnePlus 5, and Samsung Galaxy S8. The data are from the Federal Communications Commission. Find the range, variance, and standard deviation for the given sample data. Are any of the resulting statistics helpful in selecting a cell phone for purchase? 0.97 0.65 0.48 1.09 1.37 1.52 D W The range is 1.040 Ko (Type an integer or decimal rounded to three decimal places as needed.). The variance is ▼ (Type an integer or decimal rounded to three decimal places as needed.) A n
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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 50 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 ? = 7.20 ml/kg for the distribution of blood plasma.
For a random sample X1, X2, ..., X, following an Exponential(rate = 1/μ) distribution, we have seen that the large sample distribution of the sample mean X follows a Normal distribution with mean parameter µ and the variance parameter μ²/n. Suppose that we have a sample of size n = 25 from an exponential population with mean μ and we want to test n Hoμ = 2 v/s Hд μ # 2. Use the large sample distribution of ☑ to compute an approximate p-value for the test if we observe x = 2.6 and state the conclusion of your test at the 5% level of significance.
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3. (Example 3) Suppose mean of x = 37.5ml/ sample size necessary mean plasma volume Fischbach).