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dc.contributor.authorTikka, Santtu
dc.contributor.authorKopra, Juho
dc.contributor.authorHeinäniemi, Merja
dc.contributor.authorLópez-Pernas, Sonsoles
dc.contributor.authorSaqr, Mohammed
dc.contributor.editorSaqr, Mohammed
dc.contributor.editorLópez-Pernas, Sonsoles
dc.date.accessioned2024-07-12T08:07:36Z
dc.date.available2024-07-12T08:07:36Z
dc.date.issued2024
dc.identifier.citationTikka, S., Kopra, J., Heinäniemi, M., López-Pernas, S., & Saqr, M. (2024). Introductory Statistics with R for Educational Researchers. In M. Saqr, & S. López-Pernas (Eds.), <i>Learning Analytics Methods and Tutorials : A Practical Guide Using R</i> (pp. 121-150). Springer. <a href="https://doi.org/10.1007/978-3-031-54464-4_5" target="_blank">https://doi.org/10.1007/978-3-031-54464-4_5</a>
dc.identifier.otherCONVID_221056215
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/96414
dc.description.abstractStatistics play a fundamental role in learning analytics, providing a means to analyze and make sense of the vast amounts of data generated by learning environments. This chapter provides an introduction to basic statistical concepts using R and covers topics such as measures of central tendency, variability, correlation, and regression analysis. Specifically, readers will learn how to compute descriptive statistics, conduct hypothesis tests, and perform simple linear regression analysis. The chapter also includes practical examples using realistic data sets from the field of learning analytics. By the end of the chapter, readers should have a solid understanding of the basic statistical concepts and methods commonly used in learning analytics, as well as a practical understanding of how to use R to conduct statistical analysis of learning data.en
dc.format.extent736
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofLearning Analytics Methods and Tutorials : A Practical Guide Using R
dc.rightsCC BY 4.0
dc.subject.otherR-ohjelmointikieli
dc.subject.otherstatistics
dc.subject.otherlearning analytics
dc.subject.otherhypothesis testing
dc.titleIntroductory Statistics with R for Educational Researchers
dc.typebook part
dc.identifier.urnURN:NBN:fi:jyu-202407125240
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.type.urihttp://purl.org/eprint/type/BookItem
dc.relation.isbn978-3-031-54463-7
dc.type.coarhttp://purl.org/coar/resource_type/c_3248
dc.description.reviewstatuspeerReviewed
dc.format.pagerange121-150
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2024
dc.rights.accesslevelopenAccessfi
dc.type.publicationbookPart
dc.subject.ysooppiminen
dc.subject.ysoanalyysi
dc.subject.ysotilastomenetelmät
dc.subject.ysoregressioanalyysi
dc.subject.ysoohjelmointikielet
dc.subject.ysotilastot
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
jyx.subject.urihttp://www.yso.fi/onto/yso/p6851
jyx.subject.urihttp://www.yso.fi/onto/yso/p3127
jyx.subject.urihttp://www.yso.fi/onto/yso/p2130
jyx.subject.urihttp://www.yso.fi/onto/yso/p162
jyx.subject.urihttp://www.yso.fi/onto/yso/p3156
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/978-3-031-54464-4_5
dc.type.okmA3


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