Francis E Greulich
Q SCI 381
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, Q SCI 190, or Q SCI 291, or a minimum score of 2 on advanced placement test, or a score of 153-163 on the MPT-AS placement test. Offered: AWSpS.
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 and R 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; with some application examples. Laboratory Sessions: R and Excel based exercises in statistics including small group and individual interaction with the instructor.Follow-up Lecture Session: Continuation and recap of statistical concepts and formulas using extensive list of examples worked in class.
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
There is homework associated with the lab sessions that requires some follow-up outside work. Additional homework problems are assigned from the textbook as well as questions posted on-line.
The course grade is based on the following weighted elements: Homework...................20% Midterm Exam...............40% Final Exam.................40%