Majors and Degrees
ASCI4200 - Statistical Modeling I
Fall 2021: Doctorate
This course is the first of a three-course sequence in mathematical and applied statistics. Topics include the basic statistical sampling distributions (normal, gamma, student-t, chi-squared and F), point and interval estimation of mean, variance, and proportion parameters (including properties such as bias, consistency, and efficiency for point estimators), hypothesis testing, and related statistical testing. This course is designed to satisfy the VEE (verification by educational experience) requirement of the Society of Actuaries in Mathematical Statistics.
PREREQUISITES: STAT 3140 and STAT 3150 or permission of the instructor
3 Credits
3 Credits
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Schedule Book for All Active and Available Future Terms, Course starting with ASCI4200
Page 1 of 1
Credits:
3
Days: T R
Location: Moon
Room: Wheatley Center 114
Days: T R
Location: Moon
Room: Wheatley Center 114
Time:
11:00-12:15 pm
Instructor: Orendi
Session: 1 (08/30 - 12/17/21)
Term: Fall 2021
Instructor: Orendi
Session: 1 (08/30 - 12/17/21)
Term: Fall 2021
Credits:
3
Days: T R
Location: Moon
Room: Wheatley Center 114
Days: T R
Location: Moon
Room: Wheatley Center 114
Time:
09:30-10:45 am
Instructor: Orendi
Session: 1 (08/30 - 12/17/21)
Term: Fall 2021
Instructor: Orendi
Session: 1 (08/30 - 12/17/21)
Term: Fall 2021