3 classes matched your search criteria.
STAT 4051 is also offered in Spring 2025
STAT 4051 is also offered in Fall 2024
STAT 4051 is also offered in Spring 2024
STAT 4051 is also offered in Fall 2023
STAT 4051 is also offered in Spring 2023
STAT 4051 is also offered in Fall 2022
STAT 4051 is also offered in Spring 2022
STAT 4051 is also offered in Fall 2021
Fall 2018 | STAT 4051 Section 001: Applied Statistics I (20499)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- Department Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
Regular Academic Session
Mon,
Wed,
Fri 10:10AM - 11:00AM
UMTC, West Bank
Mechanical Engineering 18
- Enrollment Status:
Open (63 of 65 seats filled)
- Also Offered:
- 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
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20499/1189
Fall 2018 | STAT 4051 Section 002: Applied Statistics I (20500)
- Instructor(s)
- Class Component:
- Laboratory
- Times and Locations:
Regular Academic Session
UMTC, East Bank
Nicholson Hall 125
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Open (33 of 35 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
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20500/1189
Fall 2018 | STAT 4051 Section 003: Applied Statistics I (20501)
- Instructor(s)
- Class Component:
- Laboratory
- Times and Locations:
Regular Academic Session
UMTC, East Bank
Wulling Hall 240
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Closed (30 of 30 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
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20501/1189
ClassInfo Links - Fall 2018 Statistics Classes