An introduction to statistics with emphasis on applications. Topics include the description of data with numerical summaries and graphs, the production of data through sampling and experimental design, techniques of making inferences from data such as confidence intervals, and hypothesis tests for both categorical and quantitative data. The course includes an introduction to computer analysis of data with a statistical computing package.
Instructor
Michael Schuckers
Semester:
Spring 2022
Course Code:
STAT / MATH 113 - 4
Subject:
Applied Statistics
Readings
Visual and Statistical Thinking: Displays of Evidence for Making Decisions
Tufte, Edward R., Chapter 2 from Visual Explanations : Images and Quantities, Evidence and Narrative. Graphics Press; 1997. pgs. 27-54.
Location:
Online
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