We are interested in mean household income in Richmond. Using data on 1200 households, we calculate a mean of $100,000 and a variance of 60,000 ^2 a. What is the sampling distribution of sample mean household income from a sample of 1200 households? b. Test the hypothesis (using \alpha = 0.05) that mean household income in Richmond is at least $120,000. c. Construct a 95% confidence interval for mean household income in Richmond.
We are interested in mean household income in Richmond. Using data on 1200 households, we calculate a mean of $100,000 and a variance of 60,000 ^2 a. What is the sampling distribution of sample mean household income from a sample of 1200 households? b. Test the hypothesis (using \alpha = 0.05) that mean household income in Richmond is at least $120,000. c. Construct a 95% confidence interval for mean household income in Richmond.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Question
![. We are interested in mean household income in
Richmond. Using data on 1200 households, we
calculate a mean of $100,000 and a variance of
60,000^2 a. What is the sampling distribution of
sample mean household income from a sample of 1200
households? b. Test the hypothesis (using \alpha
= 0.05) that mean household income in Richmond is at
least $120,000. c. Construct a 95% confidence interval
for mean household income in Richmond.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc2a83950-0d84-493b-ad71-050ad5494ffa%2F04705987-8409-4427-bb8b-9faeb4589580%2Fg9obsm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:. We are interested in mean household income in
Richmond. Using data on 1200 households, we
calculate a mean of $100,000 and a variance of
60,000^2 a. What is the sampling distribution of
sample mean household income from a sample of 1200
households? b. Test the hypothesis (using \alpha
= 0.05) that mean household income in Richmond is at
least $120,000. c. Construct a 95% confidence interval
for mean household income in Richmond.
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