COURSE DESCRIPTION: from Supplemental Calendar
Displaying and describing distributions; relations in categorical data; Simpson's paradox and the need for design; experimental design and sampling design; randomization; probability laws and models; central limit theorem; statistical inference including confidence intervals and tests of significance; matched pairs; simulation.
Statistics is the science of data, and this course will introduce you to some of the basic, yet incredibly useful, statistical techniques.
Topics include collection and analysis of data, graphical methods to represent data, numerical methods for describing univariate data both for samples and population, summarizing bivariate data, random variables and probability distributions, sampling variability and sampling distributions, estimation and testing using a single sample, comparison of two populations.
