In: Math
Overproduction of uric acid in the body can be an indication of cell breakdown. This may be an advance indication of illness such as gout, leukemia, or lymphoma.† Over a period of months, an adult male patient has taken eight blood tests for uric acid. The mean concentration was x = 5.35 mg/dl. The distribution of uric acid in healthy adult males can be assumed to be normal, with σ = 1.83 mg/dl.
(a) Find a 95% confidence interval for the population mean concentration of uric acid in this patient's blood. 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 largeσ is unknownuniform distribution of uric acidnormal distribution of uric acidσ is known
(c) Interpret your results in the context of this problem.
The probability that this interval contains the true average uric acid level for this patient is 0.05.There is not enough information to make an interpretation. The probability that this interval contains the true average uric acid level for this patient is 0.95.There is a 95% chance that the confidence interval is one of the intervals containing the population average uric acid level for this patient.There is a 5% chance that the confidence interval is one of the intervals containing the population average uric acid level for this patient.
(d) Find the sample size necessary for a 95% confidence level with
maximal margin of error E = 1.00 for the mean
concentration of uric acid in this patient's blood. (Round your
answer up to the nearest whole number.)
blood tests
Solution:
Given:
Sample size = n = 8
Sample mean =
Population standard deviation =
Part a) Find a 95% confidence interval for the population mean concentration of uric acid
where
We need to find zc value for c=95% confidence level.
Find Area = ( 1 + c ) / 2 = ( 1 + 0.95) /2 = 1.95 / 2 = 0.9750
Look in z table for Area = 0.9750 or its closest area and find z value.
Area = 0.9750 corresponds to 1.9 and 0.06 , thus z critical value = 1.96
That is : Zc = 1.96
Thus
Thus
Lower Limit =
Lower Limit = 4.08
and
Upper Limit =
Upper Limit = 6.62
margin of error:
E = 1.2681
E = 1.27
Part b) What conditions are necessary for your calculations?
normal distribution of uric acid
σ is known
Part c) Interpret your results in the context of this problem.
There is a 95% chance that the confidence interval is one of the intervals containing the population average uric acid level for this patient.
Part d) Find the sample size
E = 1.00
c =confidence level = 95%