Teaching Statistics

Aims & Scope

Teaching Statistics first appeared in 1979 and has been published three times a year ever since.

It is published by the Teaching Statistics Trust.

Teaching Statistics is intended for all those who teach statistics to students aged up to 19 years.

The emphasis is on good practice in teaching statistics and statistical thinking in any context, whether in statistics subjects/courses/modules or in other disciplines such as economics and business, biology and health sciences, technology, psychology, mathematics and any area which uses statistics.

Teaching Statistics seeks to inform, enlighten, stimulate, guide, correct, inspire, entertain and encourage.

Contributions should seek to enrich but be accessible to a wide audience.

Formal and/or theoretical material should be kept to a minimum.

Teaching Statistics is a refereed journal, with double-blind reviewing.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.602

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	19

Impact Factor

Year	Value
2024	1.20

Journal Rank

Year	Value
2024	9642

Journal Citation Indicator

Year	Value
2024	126

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• An Introduction to the Bootstrap

  Citation: 273

  Authors: Roger W.

• Regression through the Origin

  Citation: 272

  Authors: Joseph G.

• Storks Deliver Babies (<i>p</i>= 0.008)

  Citation: 63

  Authors: Robert

• Meta‐analysis and mega‐analysis: A simple introduction

  Citation: 54

  Authors: Joseph G.

• What is Strong Correlation?

  Citation: 50

  Authors: Marcin

• Why Kendall Tau?

  Citation: 50

  Authors: G. E.

• Helping Students Develop Statistical Reasoning: Implementing a Statistical Reasoning Learning Environment

  Citation: 48

  Authors: Joan, Dani

• The Analysis of Experimental Data: The Appreciation of Tea and Wine

  Citation: 45

  Authors: Dennis V

• Teaching Large‐Sample Binomial Confidence Intervals

  Citation: 42

  Authors: Thomas J

• Using the coefficient of determination <i>R</i>² to test the significance of multiple linear regression

  Citation: 41

  Authors: Roberto C., Edna A., Lupércio F.

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