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Confidence Interval Solutions. 1. You want to rent an unfurnished one-bedroom apartment in Durham, NC next year. The mean monthly rent for a random sample ...
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We are 95% confident that the interval ($949.39, $1050.61) covers the true mean monthly rent of Durham apartments listed on Craig โ s List.
We can most accurately infer to Durham apartments listed on Craig โ s List. We should not infer to all apartments in Durham because we do not know if apartments on Craig โ s List are representative of all apartments in Durham.
The z multiplier for a 90% confidence interval is 1.645. We want zฯ/sqrt(n) to equal $50.*
$๐๐ = ๐ โ
Solve for n. sqrt(n) = 329/50 = 6.58. Square both sides and you get an n equal to 43.3. To calculate a margin of error +/- $50, you would need to randomly sample 44 rental apartments on Craig โ s List.
(23.4 โ 1.960.9/sqrt(100), 23.4 + 1.960.9/sqrt(100))
We are 95% confident that the interval (23.22 mpg, 23.58 mpg) includes the true mean mpg of Duncan โ s automobile.
The data likely do not meet the independence assumption. Most likely there is serial correlation in the observed mpg (patterning of mpg through time because of car age, serially correlated weather, etc.). A confidence interval is probably not the appropriate tool to make inferences about the true mean mpg.
FALSE. The population mean is NOT a random variable but a population parameter. The population parameter has one true value (it does not shift). The confidence interval shifts based on the random sampling process. With repeated sampling, 95% of the confidence intervals will include the true population mean.
FALSE. With all else constant, increasing the population standard deviation will lengthen the confidence interval.