Marcia A. Ciol
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.
In addition to the official description, an introduction to statistic methods will be presented, using examples from various areas of study. Methods include simple hypothesis testing, analysis of variance, and simple linear regression.
Student learning goals
To understand the importance of statistical thinking in the students' major or on their every-day lives.
To be able to critically read and understand statistical methods presented in the media and in publications in their area of study.
To carry out simple statistical analysis.
To be able to detect when a statistical method was misused.
To be able to detect when the conclusion of a publication is not supported by the statstical analysis.
General method of instruction
Lectures and computer lab sessions.
Class assignments and grading