Question

A simple random sample of 16 students from our class was taken. The mean height was...

A simple random sample of 16 students from our class was taken. The mean height was 66.9 inches with a standard deviation of 2.8 inches. You will be asked some questions about confidence intervals for the actual mean height of all the students in this class.

Interpret the 99% confidence interval.

Homework Answers

Answer #1

)solution

Given that,

= 66.9

s =2.8

n = 16

Degrees of freedom = df = n - 1 = 16- 1 = 15

At 99% confidence level the t is ,

= 1 - 99% = 1 - 0.99 = 0.01

/ 2 = 0.01 / 2 = 0.005

t /2  df = t0.005,15= 2.947 ( using student t table)

Margin of error = E = t/2,df * (s /n)

= 2.947 * ( 2.8/ 16) = 2.06

The 99% confidence interval is,

- E < < + E

66.9 - 2.06 < < 66.9+ 2.06

64.84 < < 68.96

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
You are interested in estimating the average height in a class of 100 students. In this...
You are interested in estimating the average height in a class of 100 students. In this class the mean height is 65 inches and the standard deviation is 4 inches. You take a sample of size 16 and compute the average (mean) height of the sample which is 64 inches. If we are sampling with replacement, how many different samples (keeping track of order) of size 16 are possible? (Do not compute this, just explain how to compute it.) What...
Ages of students: A simple random sample of 100 U.S. college students had a mean age...
Ages of students: A simple random sample of 100 U.S. college students had a mean age of 22.68 years. Assume the population standard deviation is σ = 4.74 years. Construct a 99% confidence interval for the mean age of U.S. college students. The answer I posted my instructor says it is wrong. I came up with 21.45 to 23.91 a 99% confidence interval for the mean of the U.S college students She said the z procedures are needed. Thanks.
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbar​, is found to be 115​, and the sample standard​ deviation, s, is found to be 10. ​(a) Construct a 98​% confidence interval about mu if the sample​ size, n, is 16. ​(b) Construct a 98​% confidence interval about mu if the sample​ size, n, is 20. ​(c) Construct a 99​% confidence interval about mu if the sample​ size, n,...
A student researcher compares the heights of American students and non-American students from the student body...
A student researcher compares the heights of American students and non-American students from the student body of a certain college in order to estimate the difference in their mean heights. A random sample of 12 American students had a mean height of 67.9 inches with a standard deviation of 2.08 inches. A random sample of 18 non-American students had a mean height of 64 inches with a standard deviation of 1.62 inches. Determine the 99 % confidence interval for the...
A simple random sample of 18 male students at a university has an average height of...
A simple random sample of 18 male students at a university has an average height of 70 inches. The average height of men in the general population is 69 inches. Assume that male height is approximately normally distributed with σ = 2.8 inches. Conduct a two-sided hypothesis test to determine whether the male students have heights that are significantly different than expected. Show all hypothesis testing steps.
A student researcher compares the heights of American students and non-American students from the student body...
A student researcher compares the heights of American students and non-American students from the student body of a certain college in order to estimate the difference in their mean heights. A random sample of 1818 American students had a mean height of 68.168.1 inches with a standard deviation of 3.133.13 inches. A random sample of 1212 non-American students had a mean height of 64.364.3 inches with a standard deviation of 1.841.84 inches. Determine the 99%99% confidence interval for the true...
Height data, collected from a statistics class, has a mean x=68.21 inches, and a standard deviation...
Height data, collected from a statistics class, has a mean x=68.21 inches, and a standard deviation of s= 4.01 inches. The sample size of the data was n=36 . Suppose the data collected could be considered a random sample of UCLA students. What sample size would be needed for a 90% confidence interval to have a margin of error,B , within .25? Give your answer as a whole number.
A student researcher compares the heights of American students and non-American students from the student body...
A student researcher compares the heights of American students and non-American students from the student body of a certain college in order to estimate the difference in their mean heights. A random sample of 12 American students had a mean height of 71.3 inches with a standard deviation of 2.43 inches. A random sample of 18 non-American students had a mean height of 65.6 inches with a standard deviation of 3.19 inches. Determine the 99% confidence interval for the true...
A SIMPLE RANDOM SAMPLE OF KITCHEN TOASTERS IS TO BE TAKEN TO DETERMINE THE MEAN OPERATIONAL...
A SIMPLE RANDOM SAMPLE OF KITCHEN TOASTERS IS TO BE TAKEN TO DETERMINE THE MEAN OPERATIONAL LIFETIME IN HOURS. ASSUME THAT THE LIFETIMES ARE NORMALLY DISTRIBUTED WITH POPULATION STANDARD DEVIATION 22 HOURS. FIND THE SAMPLE SIZE NEEDED SO THAT 90% CONFIDENCE INTERVAL FOR THE MEAN LIFETIME WILL HAVE A MARGIN OF ERROR OF 8.
A simple random sample of kitchen toasters is to be taken to determine the mean operational...
A simple random sample of kitchen toasters is to be taken to determine the mean operational lifetime in hours. Assume that the lifetimes are normally distributed with population standard deviation σ=30 hours. Find the sample size needed so that a 90% confidence interval for the mean lifetime will have a margin of error of 7.