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.
This course is not only good for undergraduate students but also suitable for graduate students who are planning to take more advanced stats course in the future. You will practice how to use "R".
Student learning goals
To master the basic concepts of probability and elementary statistical techniques.
To understand the difference between "sample" and "population".
To learn how to formulate a hypothesis, interpret the results of the analysis, make the proper conclusion, and draw the correct inference.
To learn how to use "R".
To learn how to apply statistical knowledge to everyday problems.
General method of instruction
Q SCI 190 or MATH 120 is a necessary prerequisite. No calculus is required, but an ability to think in abstract terms using a logical thought process is a requirement. Only high school algebra and simple arithmetic is needed. Students are expected to spend 3 hours outside of class for each credit earned. This time is to be spent working problems; reading the text, and thinking about the concepts being used.
Class assignments and grading