In: Math
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 44 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 = 7.60 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.)
-σ is unknown
-n is large
-the distribution of weights is normal
-σ is known
-the distribution of weights is uniform
(c) Interpret your results in the context of this problem.
-99% 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 0.01.
-The probability that this interval contains the true average blood plasma volume in male firefighters is 0.99.
-1% 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
Solution :
Given that,
Point estimate = sample mean =
= 37.5
Population standard deviation =
= 7.60
Sample size = n = 44
a) At 99% confidence level
= 1 - 99%
= 1 - 0.99 =0.01
/2
= 0.005
Z/2
= Z0.005 = 2.576
Margin of error = E = Z/2
* (
/n)
E = 2.576 * (7.60 / 44
)
E = 2.95
At 99% confidence interval estimate of the population mean is,
± E
37.5 ± 2.95
( 34.55, 40.45)
lower limit = 34.55
upper limit = 40.45
margin of error = 2.95
b) n is large
σ is known
99% of the intervals created using this method will contain the true average blood plasma volume in male firefighters.
d) margin of error = E = 2.50
sample size = n = [Z/2* / E] 2
n = [2.576 * 7.60 / 2.50]2
n = 61.32
Sample size = n = 62 male firefighters.