ClassInfo - Spring 2020 Statistics Classes

2 classes matched your search criteria.

Spring 2020 | STAT 4051 Section 001: Applied Statistics I (54710)

Instructor(s): Lan Liu
Class Component:: Lecture
Instructor Consent:: Department Consent Required
Instruction Mode:: In Person Term Based
Times and Locations:: Regular Academic Session

01/21/2020 - 05/04/2020

Mon, Wed, Fri 01:25PM - 02:15PM

UMTC, East Bank

Scott Hall 4
Enrollment Status:: Closed (42 of 40 seats filled)
Also Offered:: (Tentative) Spring 2025
(Tentative) Fall 2024
(Tentative) Spring 2024
(Tentative) Fall 2023
(Tentative) Spring 2023
(Tentative) Fall 2022
(Tentative) Spring 2022
(Tentative) Fall 2021

Course Catalog Description:: This is the first semester of the Applied Statistics sequence for majors seeking a BA or BS in statistics. The course introduces a wide variety of applied statistical methods, methodology for identifying types of problems and selecting appropriate methods for data analysis, to correctly interpret results, and to provide hands-on experience with real-life data analysis. The course covers basic concepts of single factor analysis of variance (ANOVA) with fixed and random effects, factorial designs, analysis of covariance (ANCOVA), repeated measures analysis with mixed effect models, principal component analysis (PCA) and multidimensional scaling, robust estimation and regression methods, and rank tests. Numerous datasets will be analyzed and interpreted, using the open-source statistical software R and Rstudio. prerequisites: Stat 3032 and Stat 3701 and Stat 4101 or 5101, Math 5651
Class Description:: Student may contact the instructor or department for information.
Textbooks:: https://bookstores.umn.edu/course-lookup/54710/1203

Instructor(s): Xuesong Hou (TA)
Class Component:: Laboratory
Times and Locations:: Regular Academic Session

01/21/2020 - 05/04/2020

Tue 10:10AM - 11:00AM

UMTC, East Bank

Science Teaching Student Svcs 312
Auto Enrolls With:: Section 001
Enrollment Status:: Closed (42 of 40 seats filled)

Course Catalog Description:: This is the first semester of the Applied Statistics sequence for majors seeking a BA or BS in statistics. The course introduces a wide variety of applied statistical methods, methodology for identifying types of problems and selecting appropriate methods for data analysis, to correctly interpret results, and to provide hands-on experience with real-life data analysis. The course covers basic concepts of single factor analysis of variance (ANOVA) with fixed and random effects, factorial designs, analysis of covariance (ANCOVA), repeated measures analysis with mixed effect models, principal component analysis (PCA) and multidimensional scaling, robust estimation and regression methods, and rank tests. Numerous datasets will be analyzed and interpreted, using the open-source statistical software R and Rstudio. prerequisites: Stat 3032 and Stat 3701 and Stat 4101 or 5101, Math 5651
Class Description:: Student may contact the instructor or department for information.
Textbooks:: https://bookstores.umn.edu/course-lookup/54711/1203

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