Show simple item record

dc.contributor.authorGreenwood, Mark C.
dc.date.accessioned2014-01-10T19:22:24Z
dc.date.available2014-01-10T19:22:24Z
dc.date.issued2014-01
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/2999
dc.descriptionFor use in STAT 217en_US
dc.description.abstractIntroductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis “looks like”. Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. This is Version 3.0 of the book.en_US
dc.description.sponsorshipInitial support from a Montana State University Instructional Innovation Grant titled "Towards more active learning in STAT 217".en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesVersion 1.0
dc.subjectStatisticsen_US
dc.subjectMathematicsen_US
dc.titleIntermediate Statistics with Ren_US
dc.typeBooken_US
dc.typeLearning Objecten_US
dc.date.updated2021-08
dc.description.version3.0
mus.citation.extentfirstpage1
mus.citation.extentlastpage432
mus.citation.volume1
mus.identifier.categoryPhysics & Mathematics
mus.identifier.doihttps://doi.org/10.15788/2019.08.19
mus.relation.collegeCollege of Letters & Science
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
dc.rights.licenseThis work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
mus.data.thumbpage1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.