The 90% Confidence interval, is become narrow than the 85% confidence interval.
Confidence Intervals:
Confidence intervals are the range of estimates for unknown parameters. Confidence intervals are computed at the specified confidence level.
C.I = X-Bar ± Z(S ÷ √n)
where,
X Bar ---> Sample mean
Z --> Confidence level
S ---> Sample standard deviation
n ---> Sample size
We have given that,
Sample Size (n) = 41
Confidence Level = 85%
Confidence Level We assumed the 85% confidence interval to be (21.709, 25.091).
We asked if we calculated an 85% confidence interval instead, how does that differ from a 90% confidence interval?
Let's assume this is a 90% confidence interval. All other conditions like sample size or other are the same. when we calculate a 90% confidence interval, its narrower the interval and we are less confident about true population parameter lies within that interval, and the more we trust that the population parameter lies within a wider interval, it narrows. So, at 5% confidence, we can have very tight intervals.
To learn more about Confidence interval, refer:
https://brainly.com/question/26658887
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