By the central limit theorem, the interval can the researcher be 95% certain that the sample mean will fall within A. $257.82 and $272.18.
What does the central limit theorem postulate?
The central limit theorem (CLT) postulates that the distribution of sample means approximates a normal distribution with larger sample sizes, disregarding the population's distribution.
This implies that sample sizes equal to or greater than 30 are often considered sufficient for the CLT to hold.
Data:
Population mean = $265
Standard deviation = $40.93
Sample size = 130
Confidence level = 95%
Thus, by the central limit theorem, the interval can the researcher be 95% certain that the sample mean will fall within A. $257.82 and $272.18.
Learn more about the central limit theorem at https://brainly.com/question/14781796
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