Statistical methods in science; descriptive methods, simple probability, sampling distributions, confidence intervals, hypothesis testing, statistical power, one-way ANOVA, correlation, simple and multiple regression, interaction, practical concerns in inference (e.g. interpreting p-values, publication bias), reading and evaluating statistical results in published papers and popular media. Emphasis on using software rather than hand calculation to conduct analyses.
If you should have any questions about this course offering, please contact Graduate & Online Program Coordinator, Alex Peitsmeyer.
Prerequisite
MATH 117 or MATH 118 or MATH 120 or MATH 124 or MATH 125 or MATH 126 or MATH 127 or MATH 141 or MATH 155 or MATH 159 or MATH 160.
