Question

Total plasma volume is important in determining the required plasma component in blood replacement therapy for...

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 42 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 = 7.90 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
upper limit
margin of error

(b) What conditions are necessary for your calculations? (Select all that apply.)
n is large
σ is unknown
the distribution of weights is uniform
σ is known
the distribution of weights is normal


(c) Interpret your results in the context of this problem.
The probability that this interval contains the true average blood plasma volume in male firefighters is 0.01.
1% of the intervals created using this method will contain the true average blood plasma volume in male firefighters.
The probability that this interval contains the true average blood plasma volume in male firefighters is 0.99.
99% of the intervals created using this method will contain the true average blood plasma volume in male firefighters.

(d) Find the sample size necessary for a 99% confidence level with maximal margin of error E = 2.50 for the mean plasma volume in male firefighters. (Round up to the nearest whole number.)
male firefighters

Homework Answers

Answer #1

a) x̄ = 37.5, σ = 7.90, n = 42, For 99% CI z* = 2.58

CI = x̄ +- (z*)*σ/sqrt(n)

lower bound = 37.5 - 2.58*7.90/sqrt(45) = 36.179
upper bound = 37.5 + 2.58*7.90/sqrt(45) = 38.820

Margin of Error = (z*)*σ/sqrt(n)
= 2.58*7.9/sqrt(42) = 3.145

b) σ is known, since n is large(n>=30) central limit theorem lets us assume the sampling distribtuion is very close to normal.

c) There is a 99% chance that the interval 36.1 and 38.8 contains the true population mean of plasma volume

d) (z*)*σ/sqrt(n)
= 2.50
n = ((z*)*σ/2.50)2 = (2.58*7.9/2.5)2=16.3 = 16samples

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