Question 298272
A) What role does a sample play in determining the point estimate? Let's say we're trying to determine the average age of a town; how might we use a sample to do this?
Take a random sample and find the average of the people in the sample.
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B)What is a confidence interval centered on?
It is centered on the mean of a sample.
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 How do we determine its width?
The width is 2 times the standard error
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 What role does the level of confidence play?
More confidence requires a wider confidence interval.
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If α = 0.10, and we have a one-tailed situation, what would be the critical value?
z = 1.2816..
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 What would be the corresponding critical region?
10%
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C)"Level of confidence"
What does the level of confidence tell us about a confidence interval?
We have a certain confidence that a population parameter is between
such and such numbers.
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 What are typical values of the level of confidence?
95%,99%
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Let's say we're trying to prove that the population mean is greater than 15. What would be the null hypothesis?
Ho: u <= 15 because equality must ALWAYS be stated in Ho.
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D) "Type 1 error" 
Assume that the analysis was conducted properly; why was the null hypothesis rejected, even though it is true?
Type I error is the probability Ho is rejected when in fact it is true.
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E) "Critical region"
&#945; is the likelihood of a Type I error. How do we calculate the critical value, knowing &#945;?
Find the z or t value(s) that is the boundary for the reject tail(s).
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F)What is the relationship between the maximum error of estimate and the width of a confidence interval? 
The width of the interval is two times the max error of estimate.
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How is the maximum error of estimate calculated?
ME = z*(std) where z depends on the level of confidence

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Cheers,
Stan H.