Exploring Misconceptions Related to Sampling Distribution, Confidence Intervals, and Hypothesis Testing: A Perspective from Econometrics

María del Mar López-Martín () and Rocio Álvarez-Arroyo ()
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María del Mar López-Martín: University of Almeria
Rocio Álvarez-Arroyo: University of Granada

Chapter Chapter 8 in Advances in Quantitative Methods for Economics and Business, 2025, pp 147-157 from Springer

Abstract: Abstract This chapter addresses the inherent complexities in teaching key terms of statistical inference, exploring the difficulties associated with understanding fundamental concepts such as sampling distribution, confidence intervals, and hypothesis testing. Often, the pedagogical approach focuses more on presenting formulas than on interpretation, resulting in significant gaps in acquired knowledge. In particular, students often find it challenging to comprehend the sample distribution and interpret confidence intervals. Furthermore, confusion continues to exist in hypothesis testing, specifically concerning significance levels and p-values. We would like to emphasise the need for a more integrated and real-world oriented teaching approach that prioritises conceptual understanding over memorisation. The analysis carried out can be taken into account in order to improve teaching performance by offering an opportunity to identify, rectify, and prevent persistent errors.

Keywords: Confidence interval; Hypothesis testing; Sampling distribution; Misconceptions (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-84782-0_8

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DOI: 10.1007/978-3-031-84782-0_8

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