Applied Economics Teaching Resources

an AAEA Journal

Agricultural and Applied Economics Association

Teaching Education Commentary

Impossible Inferences: A Note on Inconsistency in Business Statistics

Joseph G. Eisenhauer(a)
University of Detroit Mercy

JEL Codes: A22, C12, I21, M21
Keywords: confidence interval, descriptive statistics, hypothesis testing, inference, population standard deviation, Z statistic

First Published Online: August 27, 2025

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Abstract

Textbooks designed for business statistics customarily present inferential statistics whose premises contradict the definitions developed in descriptive statistics. In particular, because the standard deviation of a population cannot be calculated if the population mean is unknown, hypothesis tests and confidence intervals for the mean that rely on the population standard deviation pose an inconsistency between lessons. To reduce potential confusion and utilize both class time and students’ homework time efficiently, the present note proposes de-emphasizing these tests and intervals in favor of those that depend on the sample standard deviation.

About the Authors: Joseph G. Eisenhauer is a Professor of Economics and Dean of the College of Business Administration at the University of Detroit Mercy (Email : eisenhjg@udmercy.edu).

Copyright is governed under Creative Commons CC BY-NC-SA

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