STAT 401: APPLIED PROBABILITY AND STATISTICS II
SECTION
0301, FALL, 2019
COURSE
OUTLINE
Instructor:
Paul J. Smith, Statistics Program
Office hours:
MTWTF 11-12, MTH 4404
Telephone:
(301) 405-5104
E-mail: pjs@math.umd.edu
Schedule:
MWF 12, MTH0106
Textbook:
Devore, J. L. (2016). Probability and
Statistics for Engineering and the Sciences (9th ed.). Brooks/Cole.
Prerequisite: Minimum grade of C- from either STAT 400 or
STAT 410.
Course Description:
STAT 401 is the second semester of a
calculus-based introductory course in probability and
statistics. Probability is the mathematical treatment of random phenomena,
and statistics is the science of collecting, analyzing and interpreting data
subject to random variation. STAT 401 concentrates on statistics, emphasizing applicable
mathematics rather than abstract theory, and concepts will be illustrated using
real-world examples wherever possible.
This course is not like the mathematics
courses that you have taken in the past. Probability
and statistics require a novel style of thinking and there will be a continual
flow of new concepts and ideas. It is essential to stay current in the
course and to work as many exercises as possible to master the material.
You will analyze data sets using the R statistical platform. R is the package of choice for
statistics, and the use of R will be described at the beginning of the course. Students familiar
with SAS may use this package for homework assignments, but all students should attempt to master
at least the basic concepts of R. Some introductory books on R are listed below.
Topics:
Examinations and Grading:
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