M316 ELEMENTARY STATISTICAL METHODS
Prerequisite and degree relevance:
May not be counted toward the major requirement for the Bachelor of Arts
with a major in mathematics or toward the Bachelor Science in Mathematics.
Only one of the following may be counted: Mathematics 316, 306K (Topic 1:
Applications of Probability Theory), 362K. Students taking the course should
have good basic algebra skills. Adequate algebraic skills are normally established
by taking Algebra I and Algebra II in secondary school or by making a score
of at least 430 /400 on the College Board Achievement Test in Mathematics
Level I or IC , or Mathematics 301 with a grade of at least C.
Course Description:
The course is designed to provide the student with a clear understanding
of basic statistical techniques. Topics include: Descriptive statistics
- measures of central tendency, measures of dispersion. Probability - basic
rules of probability, joint and marginal probabilities. Statistical modeling
- normal and binomial distributions, sampling distributions. Inferential
statistics - estimating means and proportions, hypothesis tests, regression
and correlation.
The assignments in the course are usually applied problems. Computer work
is also assigned, however no prior computer course or computer use is required.