Our greatest challenge every day as decision-makers is making choices based on limited information. In this class we will explore exactly that challenge, using the concepts of inferential statistics. The class will discuss probability in the context of the likelihood of events occurring, and move on to testing hypotheses about these events. In this context, the class will work with several distributions, such as t, chi square, F as well as the normal distribution, and work with ANOVA and multiple regression. The class will finish with an introduction to non-parametric statistics. In addition, the students will consider journal articles and research concepts, and will prepare a small presentation using the concepts from the class.
This class will be conducted entirely online, using Zoom. To participate in the class you will need a personal computer and an internet connection. Your computer will need to have voice capability (most have a built-in mike) and if possible a video camera. (Again, many already do.) The class materials will be posted on Canvas, the College’s online platform. You will be able to link to the class Zoom room through the Canvas site, where the sessions will be listed.
Our approach will emphasize participation in synchronous (live) sessions; however, if students find themselves unable to participate due to technology, caregiving obligations, economic disruption, health risk, or illness, they can work with faculty to pursue alternate options to earn related credit.
Completion of Statistics I or equivalent
Course Reference Numbers
Environmental Policy and Science, Public Administration, Education, Scientific Research