Question

The mean diastolic blood pressure for a random sample of 90 people was 81 millimeters of...

The mean diastolic blood pressure for a random sample of 90 people was 81 millimeters of mercury. If the standard deviation of individual blood pressure readings is known to be

11 millimeters of mercury, find a 95% confidence interval for the true mean diastolic blood pressure of all people. (upper and lower) Round to three decimal places.

Homework Answers

Answer #1

Given that, population standard deviation = 11 millimetres

sample size (n) = 90 and sample mean = 81 millimetres

A 95% confidence level has significance level of 0.05 and critical value is,

The 95% confidence interval for the population mean is,

Therefore, the  95% confidence interval for the true mean diastolic blood pressure of all people is (78.727, 83.273) millimetres.

Where, lower bound = 78.727 millimetres and

upper bound = 83.273 millimetres

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The mean diastolic blood pressure for a random sample of 60 people was 84 millimeters of...
The mean diastolic blood pressure for a random sample of 60 people was 84 millimeters of mercury. If the standard deviation of individual blood pressure readings is known to be 10 millimeters of mercury, find a 90% confidence interval for the true mean diastolic blood pressure of all people. Then complete the table below. What is the lower limit of the 90% confidence interval? What is the upper limit of the 90% confidence interval?
The mean diastolic blood pressure for a random sample of 70 people was 94 millimeters of...
The mean diastolic blood pressure for a random sample of 70 people was 94 millimeters of mercury. If the standard deviation of individual blood pressure readings is known to be 8 millimeters of mercury, find a 90% confidence interval for the true mean diastolic blood pressure of all people. Then complete the table below. Carry your intermediate computations to at least three decimal places. Round your answers to one decimal place. What is the lower limit of the 90% confidence...
Suppose that diastolic blood pressure readings of adult males have a bell-shaped distribution with a mean...
Suppose that diastolic blood pressure readings of adult males have a bell-shaped distribution with a mean of 80 mmHg and a standard deviation of 11 mmHg. Using the empirical rule, what percentage of adult males have diastolic blood pressure readings that are greater than 102 mmHg?
Assume that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mm...
Assume that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mm Hg) and the standard deviation is 5.6. Assume that the variable is normally distributed. If an individual is selected, find the probability that the individual’s systolic blood pressure will be between 118.4 and 121.9 mm Hg.
Suppose that diastolic blood pressure readings of adult males have a bell-shaped distribution with a mean...
Suppose that diastolic blood pressure readings of adult males have a bell-shaped distribution with a mean of 79mmHg and a standard deviation of 10mmHg. Using the empirical rule, what percentage of adult males have diastolic blood pressure readings that are greater than 99mmHg? Please do not round your answer.
Adult females in the US have normally distributed diastolic blood pressures with mean μ = 77...
Adult females in the US have normally distributed diastolic blood pressures with mean μ = 77 mm Hg and standard deviation σ = 11.6 mm Hg. Use this information to answer the following questions: (a) 95% of adult females have diastolic pressures in what range? Enter the answer as an interval.(Use the 68-95-99.5 Rule) (b) Sophia’s diastolic blood pressure is 68. What is the z-score of this value? (Use The formula for z-score) (c) If we choose a woman at...
Given: a 90% confidence interval estimate for the mean systolic blood pressure of people living in...
Given: a 90% confidence interval estimate for the mean systolic blood pressure of people living in Montgomery County, OH has been determined to be 121 to 138 based on a sample of 30 Montgomery County OH residents conducted by the Montgomery County OH Department of Public Health. Which one of the following statements in a press release issued by the Director of the Department of Public Health of Montgomery County would be correct? A. If the sampling procedure were repeated...
The mean systolic blood pressure of adults is 120 millimeters of mercury (mm Hg) with a...
The mean systolic blood pressure of adults is 120 millimeters of mercury (mm Hg) with a standard deviation of 5.6. Assume the variable is normally distributed. 1) If an individual is randomly selected, what is the probability that the individual's systolic pressure will be between 120 and 121.8 mm Hg. 2) If a sample of 30 adults are randomly selected, what is the probability that the sample mean systolic pressure will be between 120 and 121.8 mm Hg. -Central Limit...
Salt-free diets are often prescribed to people with high blood pressure. Eight volunteers participated in a...
Salt-free diets are often prescribed to people with high blood pressure. Eight volunteers participated in a study. Data was obtained from the experiment which was designed to estimate the reduction in diastolic blood pressure as a result of following a salt-free diet for two weeks. Assume diastolic readings are normally distributed.  The resulting mean difference is 1.25mmHg with a standard deviation of 2.4928mmHg.  Construct a 98% confidence interval for the mean reduction in the diastolic reading after two weeks on this diet....
Assume that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mm...
Assume that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mm Hg) and the population standard deviation is 5.6. Assume the variable is normally distributed. If a sample of 30 adults is randomly selected, find the probability that the sample mean will be between 120-mm and 121.8-mm Hg.