The Maximum Error of Estimate is exactly equal to half of the width of the confidence interval. T-F, and why or why not?
Since this is not my area of expertise, I searched Google under the key words "Maximum Error of Estimate" to get these possible sources:
https://www.google.com/search?client=safari&rls=en&q=Maximum+Error+of+Estimate&ie=UTF-8&oe=UTF-8
In the future, you can find the information you desire more quickly, if you use appropriate key words to do your own search. Also see http://hanlib.sou.edu/searchtools/.
http://www.hackcollege.com/blog/2011/11/23/infographic-get-more-out-of-google.html
False. The maximum error of estimate is not exactly equal to half of the width of the confidence interval. The width of the confidence interval represents the range within which the true population parameter is likely to fall. It is calculated by multiplying the margin of error by two.
The margin of error is influenced by various factors, including the sample size, standard deviation, and the level of confidence. It represents the maximum amount by which the sample estimate could differ from the true population parameter.
To calculate the maximum error of estimate, you would typically divide the margin of error by two. So, while the maximum error of estimate is related to the width of the confidence interval, it is not equal to exactly half of it.
In summary, the statement is false because the maximum error of estimate is equal to the margin of error divided by two, not the width of the confidence interval.