. A study is run to estimate the mean total cholesterol level in children 9-11 years of age. A random sample of 169 participants is selected and their mean total cholesterol levels is 161.5. Assume the population standard deviation is 19.5. Give the following information for a 95% confidence interval for the mean cholesterol. 1. The value for Z or t and how you found it. 2. The confidence interval equation filled in.  3. The calculation of the Standard Error  4. The calculation of the Margin of Error  5. The upper and lower limits  6. An interpretation of the confidence interval

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 26PFA
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1. A study is run to estimate the mean total cholesterol level in children 9-11 years of age. A random sample of 169 participants is selected and their mean total cholesterol levels is 161.5. Assume the population standard deviation is 19.5. Give the following information for a 95% confidence interval for the mean cholesterol.

1. The value for Z or t and how you found it.
2. The confidence interval equation filled in. 
3. The calculation of the Standard Error 
4. The calculation of the Margin of Error 
5. The upper and lower limits 
6. An interpretation of the confidence interval

 

2. A random sample of 25 ten-year-old girls had a mean weight of 73.5 and a standard deviation of 10 pounds. Give the following information for a 90% confidence interval for the mean weight.

1. The value for Z or t and how you found it.
2. The confidence interval equation filled in. 
3. The calculation of the Standard Error 
4. The calculation of the Margin of Error 
5. The upper and lower limits 
6. An interpretation of the confidence interval 

 

3. In a test of H0: µ=27 against HA: µ ≠ 27, using α=.05, you get a 95% confidence interval with a lower limit of 26.7 and an upper limit of 28.3. What is your conclusion?

a. fail to reject the null hypothesis.  b. reject the null hypothesis.   c.no enough information

 

 

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