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Back QUIZ Online Quiz 5 Question 8 Not yet answered Marked out of 3.00 Flag question The general formula for a confidence interval is: Sample Statistic $\pm z \cdot SE$ Where "z" is sometimes referred to as the critical value and is chosen so that the proportion between -z and +z in the standard normal distribution is the confidence level. This is more accurate than using 2xSE for the margin of error from earlier in the course. Calculate the lower and upper limits of a 90% confidence interval for a population proportion given: $\hat{p} = 0.4$, SE = 0.08 90% Confidence interval = ( ) Round your answer to 3 decimal place. For an example of how to do a calculation like this see this demo in Excel. You will also need to use the Theoretical Normal Distribution in StatKey to find the z value for a 90% confidence interval. What inference can we make about a 90% confidence interval in general? (No answer given) ?

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The general formula for a confidence interval is:
Sample Statistic $\pm z \cdot SE$
Where "z" is sometimes referred to as the critical value and is chosen so that the proportion between -z and +z
in the standard normal distribution is the confidence level. This is more accurate than using 2xSE for the margin
of error from earlier in the course.
Calculate the lower and upper limits of a 90% confidence interval for a population proportion given:
$\hat{p} = 0.4$, SE = 0.08
90% Confidence interval = (
)
Round your answer to 3 decimal place.
For an example of how to do a calculation like this see this demo in Excel. You will also need to use the
Theoretical Normal Distribution in StatKey to find the z value for a 90% confidence interval.
What inference can we make about a 90% confidence interval in general?
(No answer given)
?

Back
QUIZ
Online Quiz 5
Question 8
Not yet
answered
Marked out of
3.00
Flag
question
The general formula for a confidence interval is:
Sample Statistic ± z · SE
Where "z" is sometimes referred to as the critical value and is chosen so that the proportion between -z and +z
in the standard normal distribution is the confidence level. This is more accurate than using 2xSE for the margin
of error from earlier in the course.
Calculate the lower and upper limits of a 90% confidence interval for a population proportion given:
p̂ = 0.4, SE = 0.08
90% Confidence interval = (
)
Round your answer to 3 decimal place.
For an example of how to do a calculation like this see this demo in Excel. You will also need to use the
Theoretical Normal Distribution in StatKey to find the z value for a 90% confidence interval.
What inference can we make about a 90% confidence interval in general?
(No answer given)
?

Added by Kelsey T.

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