A simple introduction to programming and statistics with decision trees in R

Summary University students in other disciplines without prior knowledge in statistics and/or programming language are introduced to the statistical method of decision trees in the programming language R during a 45‐minute teaching and practice session. Statistics and programming skills are now freq...

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Bibliographic Details
Published in:Teaching statistics Vol. 42; no. 2; pp. 36 - 40
Main Author: Tang, Marc
Format: Journal Article
Language:English
Published: Oxford Wiley-Blackwell 01.06.2020
Wiley Subscription Services, Inc
Subjects:
College Students
Colleges & universities
Decision Making
Decision trees
Humanities and Social Sciences
intoductory session
Introductory Courses
Methods and statistics
Prior Learning
Programming
Programming Languages
Statistical Analysis
Statistical models
Statistics
Students
Teaching
Teaching Methods
teaching statistics
ISSN:0141-982X, 1467-9639
Online Access:Get full text
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Summary:Summary University students in other disciplines without prior knowledge in statistics and/or programming language are introduced to the statistical method of decision trees in the programming language R during a 45‐minute teaching and practice session. Statistics and programming skills are now frequently required within a wide variety of research fields and private industries. However, students unfamiliar with these subjects may be reluctant to join a full course because of time or student workloads or other commitments or a belief it is not for them. The proposed session is short and can be used as an ice‐breaker to let students have a basic understanding of running statistical models in programming language.
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ISSN:0141-982X
1467-9639
DOI:10.1111/test.12210