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Question 12 5 pts A survey with a 90% confidence level is being designed for a population that has a standard deviation of 6.

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Solution:
Given in the question
Confidence level = 0.9
Level of significance(\alpha) = 1 - Confidence level = 1 - 0.9 = 0.1
\alpha /2 = 0.1/2 = 0.05, From Z table we found Z\alpha/2 = 1.645
Population standard deviation(\sigma) = 6.5
Margin of error (E)= 10
So sample size can be calculated as
Sample size (n) = (Zalpha/2 * \sigma /E)^2
Here we can see that sample size is inversly proportion to the sqare of Margin of error(E)
I.e. n ~ (1/E)^2
if E is divide by 2 than
n ~ (1/(E/2))^2
n ~ 4*(1/E)^2
If Margin of error will decreases by half than sample size will increase by 4 times.

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