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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 2.0 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.description.version1.0
mus.citation.extentfirstpage1
mus.citation.extentlastpage387
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.
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