Introduction to statistics that includes collection of data using observational studies and experiments; descriptive statistics; parametric and non-parametric approaches to one- and two-sample inference for means and proportions; errors and power; chi-squared tests and simple linear regression. Emphasizes precise communication and implementation using statistical software (R).
Athena Title
Intro to Stat and Comput Hon
Equivalent Courses
Not open to students with credit in STAT 2000, STAT 2000E, BIOS 2010, BIOS 2010E
Prerequisite
Permission of Honors
Semester Course Offered
Offered fall and spring
Grading System
A - F (Traditional)
Student Learning Outcomes
Students will discuss strengths and weaknesses of basic study designs and select appropriate procedures to answer a statistical question.
Students will use statistical software (R) to calculate summary statistics and construct graphs that can be used to describe a univariate distribution or a bivariate relationship.
Students will use parametric and non-parametric approaches to measure strength of evidence and estimate the size/strength of an effect, applying appropriate statistical language to quantify uncertainty.
Students will connect conclusions to the method of data collection, deciding whether the results of a study can be generalized to a larger population or used to support causal conclusions.
Students will examine and critique statistical results published in peer-reviewed research articles and popular media.
Topical Outline
Introduction to the statistical problem-solving process
Introduction to R
Sampling and survey design to support generalizability
Experimental design to support causal conclusions
Hypothesis tests and confidence intervals for univariate data (categorical or quantitative)
Hypothesis tests and confidence intervals for comparing two independent groups (categorical or quantitative responses) or paired data (quantitative responses)
