Time Schedule:
Francis E Greulich
Q SCI 381
Seattle Campus
Applications to biological and natural resource problems stressing the formulation and interpretation of statistical tests. Random variables, expectations, variances, binomial, hypergeometric, Poisson, normal, chi-square, "t" and "F" distributions. Prerequisite: either MATH 120, MATH 124, MATH 125, MATH 126, MATH 144, or Q SCI 291,or a minimum score of 2 on advanced placement test, or a minimum score of 67% on MATHPC placement test. Offered: AWSpS.
Class description
Elementary concepts of probability and statistical inference. Sample space, random variables, expectations, variances; binomial, normal, hypergeometric, Poisson, chi square, "t" and "F" distributions. Point and confidence interval estimation, basic concepts of hypothesis testing, linear regression. Illustrative problems using MS Excel will be worked by the students in a computer applications lab.
Student learning goals
General method of instruction
Intro Lecture: An overview of the material to be covered during the week; presentation of key concepts and formulas; application examples. Laboratory Sessions: Excel based exercises in statistics including small group and individual interaction with the instructor.Follow-up Lecture Sessions: Continuation and recap of statistical concepts and formulas.
Recommended preparation
Prerequisite: either MATH 120, a score of 2 on advanced placement test, or a score of 67% on MATHPC placement test.
Class assignments and grading
Most closely associated the lab sessions. Some follow-up outside work is generally required to complete the weekly exercise.
The course grade is based on the following weighted elements: Homework...................30% Midterm Exam...............35% Final Exam.................35%
