4 hours. 3 hours lecture and 2 hours lab per week.
Introductory Statistics
Course Description
Introductory statistics, including the collection of data,
descriptive statistics, probability, and inference. Topics
include sampling methods, experiments, numerical and graphical
descriptive methods, correlation and regression, contingency
tables, probability concepts and distributions, confidence
intervals, and hypothesis testing for means and proportions.
Athena Title
Introductory Statistics
Equivalent Courses
Not open to students with credit in STAT 2000E, STAT 2100H, BIOS 2010, BIOS 2010E
Semester Course Offered
Offered fall, spring and summer
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 or a web-based application to calculate summary statistics and construct graphs that can be used to describe a univariate distribution or a bivariate relationship.
Students will use inference procedures to measure strength of evidence and estimate effects, 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 calculate probabilities using basic probability rules (e.g., complement rule, addition rule, multiplication rule), visual tools (e.g., tree diagrams), or probability distributions (discrete or Normal).
Topical Outline
Describing Data: organizing and displaying data, including dotplots, histograms, stem-and-leaf plots, and boxplots; numerical measures of center, spread and position; correlation and regression; contingency tables.
Collecting Data: sampling methods, experiments, and observational studies.
Probability: concepts and rules, discrete probability distributions and expectation, binomial and normal distributions, sampling distributions for the sample mean and sample proportion.
Estimation and Inference: confidence intervals and hypothesis testing for population means and proportions, paired difference test, chi-square test for independence.
General Education Core
CORE I: Foundation CORE III: Quantitative Reasoning
