Publication:
The use of the Old Faithful Geyser data in both undergraduate and graduate statistics courses

dc.contributor.advisor Rolke, Wolfgang A.
dc.contributor.author Murillo-Florez, Didier A.
dc.contributor.college College of Arts and Sciences - Sciences en_US
dc.contributor.committee Acuña Fernández, Edgar
dc.contributor.committee Lorenzo González, Edgardo
dc.contributor.department Department of Mathematics en_US
dc.contributor.representative Rı́os, Isabel
dc.date.accessioned 2019-05-30T12:45:03Z
dc.date.available 2019-05-30T12:45:03Z
dc.date.issued 2019-05-08
dc.description.abstract Many statistics teachers in line with the recommendations of several studies suggest using real-life context data during class lessons. The present work shows the use of the Old Faithful Geyser eruptions as a real-life data example for teaching statistics at a university. It can be adapted for basic courses to more advanced ones. During this study, we illustrated how to use the Old Faithful Geyser data to discuss concepts and methods related to descriptive statistics, inferences and curve fitting for an introductory statistics course. In the same way, we use the data to examine some uses in advanced class lessons that involve topics such as bootstrap method, inferences for the normal mixture models, goodness of fit tests, kernel density estimation (KDE), as well as some nonparametric regression methods, namely, kernel smoothing, LOWESS and smoothing splines. en_US
dc.description.graduationSemester Spring en_US
dc.description.graduationYear 2019 en_US
dc.identifier.uri https://hdl.handle.net/20.500.11801/2452
dc.language.iso en en_US
dc.rights CC0 1.0 Universal *
dc.rights.holder (c) 2019 Didier A. Murillo Florez en_US
dc.rights.uri http://creativecommons.org/publicdomain/zero/1.0/ *
dc.subject Old Faithful Geyser en_US
dc.subject Statistics education en_US
dc.subject.lcsh Statistics -- Study and teaching (Higher) en_US
dc.title The use of the Old Faithful Geyser data in both undergraduate and graduate statistics courses en_US
dc.type Thesis en_US
dspace.entity.type Publication
thesis.degree.discipline Mathematical Statistics en_US
thesis.degree.level M.S. en_US
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