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.