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 2020 | STAT 4051 Section 001: Applied Statistics I (16580)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
Online Course
- Times and Locations:
Regular Academic Session
Mon,
Wed,
Fri 10:10AM - 11:00AM
Off Campus
UMN REMOTE
- Enrollment Status:
Closed (104 of 100 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 3701 or STAT 3301) and (STAT 4101 or STAT 5101 or MATH 5651)
- Class Notes:
- This course is completely online in a synchronous format. The course will meet online at the scheduled times.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16580/1209
Fall 2020 | STAT 4051 Section 002: Applied Statistics I (16581)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
Online Course
- Times and Locations:
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Closed (55 of 50 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 3701 or STAT 3301) and (STAT 4101 or STAT 5101 or MATH 5651)
- Class Notes:
- This course is completely online in a synchronous format. The course will meet online at the scheduled times.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16581/1209
Fall 2020 | STAT 4051 Section 003: Applied Statistics I (16582)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
Online Course
- Times and Locations:
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Open (49 of 50 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 3701 or STAT 3301) and (STAT 4101 or STAT 5101 or MATH 5651)
- Class Notes:
- This course is completely online in a synchronous format. The course will meet online at the scheduled times.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16582/1209
ClassInfo Links - Fall 2020 Statistics Classes