verproduction 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 fifteen blood tests for uric acid. The mean concentration was x = 5.40 mg/dl. The distribution of uric acid in healthy adult males can be assumed to be normal, with ? = 1.89 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.) normal distribution of uric acid ? is unknown uniform distribution of uric acid n is large ? is known (c) Interpret your results in the context of this problem. We are 95% confident that the true uric acid level for this patient falls within this interval.The probability that this interval contains the true average uric acid level for this patient is 0.05. We are 5% confident that the true uric acid level for this patient falls within this interval.The probability that this interval contains the true average uric acid level for this patient is 0.95. (d) Find the sample size necessary for a 95% confidence level with maximal margin of error E = 1.06 for the mean concentration of uric acid in this patient's blood. (Round your answer up to the nearest whole number.) blood tests=

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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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 fifteen blood tests for uric acid. The mean concentration was x = 5.40 mg/dl. The distribution of uric acid in healthy adult males can be assumed to be normal, with ? = 1.89 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.)

normal distribution of uric acid

? is unknown

uniform distribution of uric acid

n is large

? is known

(c)

Interpret your results in the context of this problem.

We are 95% confident that the true uric acid level for this patient falls within this interval.The probability that this interval contains the true average uric acid level for this patient is 0.05. We are 5% confident that the true uric acid level for this patient falls within this interval.The probability that this interval contains the true average uric acid level for this patient is 0.95.

(d)

Find the sample size necessary for a 95% confidence level with maximal margin of error E = 1.06 for the mean concentration of uric acid in this patient's blood. (Round your answer up to the nearest whole number.)

blood tests=

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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