Question

In: Statistics and Probability

A sample of 30 observation has sample mean x̅ = 53 and sample standard deviation of...

A sample of 30 observation has sample mean x̅ = 53 and sample standard deviation of s = 3. Construct a 99% two sided confidence interval for the population mean. If we want the length of 99% two sided confidence interval to be smaller than 1, how many more samples do we need to take?

Please show your work, I will be studying the solution step by step.

Solutions

Expert Solution

Solution:

Given:

Sample size = n = 30

Sample mean =

Sample Standard Deviation = s = 3

Confidence level = c = 99% = 0.99

Part a) Find 99% two sided confidence interval for the population mean.

where

where tc is t critical value for c = 99% confidence level.

df = n - 1 = 30 - 1 = 29

two tail area = 1 - c = 1 - 0.99 = 0.01

From t table , we get:

tc = 2.756

Thus

Thus

Thus 99% two sided confidence interval for the population mean is between the limits: (51.49 , 54.51 )

Part b) we want the length of 99% two sided confidence interval to be smaller than 1

That is length = 1

then E = Margin of Error = length / 2 = 1 / 2 = 0.5

Formula for sample size n is:

Zc is z critical value for c = 0.99 confidence level.

Find Area = ( 1+c)/2 = ( 1 + 0.99 ) / 2 = 1.99 /2 = 0.9950

Thus look in z table for Area = 0.9950 or its closest area and find corresponding z critical value.

From above table we can see area 0.9950 is in between 0.9949 and 0.9951 and both are at same distance from 0.9950, Hence corresponding z values are 2.57 and 2.58

Thus average of both z values is 2.575

Thus Zc = 2.575

Thus

We have to find: how many more samples do we need to take?

Thus 239 - 30 = 209

Thus we need to take 209 more samples


Related Solutions

A sample has a mean of M = 30 and a standard deviation of s =...
A sample has a mean of M = 30 and a standard deviation of s = 8. Find the z-score for each of the following X values from this sample. X = 32 X = 34 X = 36 X = 28 X = 20 X = 18
A random sample of n=100 observations produced a mean of x̅=33 with a standard deviation of s=5.
A random sample of n=100 observations produced a mean of x̅=33 with a standard deviation of s=5. (a) Find a 95% confidence interval for μ Lower-bound: Upper-bound: (b) Find a 99% confidence interval for μ Lower-bound: Upper-bound:
A random sample of n=100 observations produced a mean of x̅=28 with a standard deviation of s=6.
Note: Each bound should be rounded to three decimal places. A random sample of n=100 observations produced a mean of x̅=28 with a standard deviation of s=6. (a) Find a 90% confidence interval for ?Lower-bound:  Upper-bound: (b) Find a 99% confidence interval for ?Lower-bound:  Upper-bound: (c) Find a 95% confidence interval for ?Lower-bound:  Upper-bound:
A random sample of n=100 observations produced a mean of x̅=25 with a standard deviation of s=4.
A random sample of n=100 observations produced a mean of x̅=25 with a standard deviation of s=4. (a) Find a 90% confidence interval for μ, z for 90 percentile : 1.28 (b) Find a 95% confidence interval for μ, z for 95 percentile : 1.75 (c) Find a 99% confidence interval for μ, z for 99 percentile : 2.33
Assuming the sample size is 30, the sample mean (X) is 24.75, the population standard deviation...
Assuming the sample size is 30, the sample mean (X) is 24.75, the population standard deviation (σ) is 5, a 95% confidence interval for the population mean would have lower bound of _________________ and upper bound of _______________________.
A population has a mean of 180 and a standard deviation of 36. A sample of...
A population has a mean of 180 and a standard deviation of 36. A sample of 84 observations will be taken. The probability that the sample mean will be between 181 and 185 is
A population has a mean of 180 and a standard deviation of 24. A sample of...
A population has a mean of 180 and a standard deviation of 24. A sample of 64 observations will be taken. The probability that the sample mean will be between 183 and 186 is
A population has a mean of 37.6 and a standard deviation of 14.8. A sample of...
A population has a mean of 37.6 and a standard deviation of 14.8. A sample of 75 will be taken. Find the probability that the sample mean will be greater than 42.0. a) Calculate the z score. (Round your answer to 2 decimals.) b) Find the probability that the sample mean will be greater than 42.0. (Round your answer to 4 decimals.)
A population has a mean of 245.3 and a standard deviation of 12.6. A sample of...
A population has a mean of 245.3 and a standard deviation of 12.6. A sample of 200 will be taken. Find the probability that the sample mean will be less than 248.4. a) Calculate the z score. (Round your answer to 2 decimals.) b) Find the probability that the sample mean will be less than 248.4. (Round your answer to 4 decimals.)
A population has a mean of 300 and a standard deviation of 18. A sample of...
A population has a mean of 300 and a standard deviation of 18. A sample of 144 observations will be taken. The probability that the sample mean will be less than 303 is 0.4332 0.9772 0.9544 0.0668 None of the above
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT