1. Find the critical value zα/2 that corresponds to a 94% confidence level. Round your answer to two decimal places.
2. The following confidence interval is obtained for a population proportion, p: 0.273 < p < 0.592. Use these confidence interval limits to find the sample proportion . Round your answer to three decimal places. 0.433
3. Find the minimum sample size : How many commuters must be randomly selected to estimate the mean driving time μ of Chicago commuters? We want 99% confidence that the sample mean is within 4.7 minutes of the population mean, and the population standard deviation is known to be 13.7 minutes. 57
Answer:
1.
Given,
The critical value Z(alpha/2) that corresponds to 94% confidence interval is 1.88
2.
CI = 0.273 < p < 0.592
So now we have to compare it with p^ +/- E,
i.e.,
p^ - E = 0.273 --------> (1)
p^ + E = 0.592 ---------> (2)
Adding of two, we get 2p^ = 0.865
p^ = 0.865/2
p^ = 0.4325
substitute p^ in (2)
0.4325 - E = 0.273
E = 0.4325 - 0.273
E = 0.1595
So the confidence interval can be expressed as 0.4325 +/- 0.1595
3.
Given,
CI = 99%
Margin of error E = 4.7
Standard deviation = 13.7
n >= (z*s/E)^2
substitute values
= (2.58*13.7 / 4.7)^2
= 56.56
= 57
So sample size n = 57
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