Question

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, leukaemia, or lymphoma. Over a period of three months, an adult male patient had 25 blood tests for uric acid. The mean concentration was 5.35 mg//dl. The distribution of uric acid in healthy adult males can be assumed to have a standard deviation of 1.85mg//dl. Find the 99% confidence interval for the mean concentration of uric acid in the patient's blood. mg//dlquad <= mu <= quadmg//dl" (round both figures to "2" decimal " places) 2. What is the estimation error? mg//dl (to 2 decimal places) 3. Find the sample size necessary to obtain a 99%

Answer 1

To find the 99% confidence interval for the mean concentration of uric acid in the patient's blood, we can use the t-distribution.

Step-by-step explanation:

The mean concentration of uric acid in the patient's blood over a period of three months is 5.35 mg/dl, with a standard deviation of 1.85 mg/dl. To find the 99% confidence interval for the mean concentration of uric acid, we can use the formula:

confidence interval = mean ± (z * standard deviation / square root of sample size)

Since we don't know the sample size in this case, we'll use the t-distribution. The t-distribution is similar to the normal distribution, but it is used when the sample size is small or when the population standard deviation is unknown.