The 90% confidence interval (C.I.) is more precise in estimating a mean than the 95% C.I.
Confidence interval is defined as the range of values where a parameter might fall at a given confidence level. It can be calculated using the formula below.
CI = μ ± z x (SD / √n)
where CI = confidence interval
μ = sample mean
z = found by using a z-score table
SD = sample standard deviation
n = sample size
The larger the degree of confidence is, the wider is the interval. Hence, the 95% C.I. is wider and includes more values than the 90% C.I.
On the other hand, the smaller the degree of confidence is, the more the estimate of a mean is precise. Hence, the 90% C.I. is more precise in estimating a mean than the 95% C.I.
Learn more about confidence interval here: brainly.com/question/15905481
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