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dc.contributor.authorGreenwood, Mark C.
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 3.1 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.relation.ispartofseriesVersion 1.0
dc.titleIntermediate Statistics with Ren_US
dc.typeLearning Objecten_US
mus.identifier.categoryPhysics & Mathematics
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 4.0 International License.

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