Basic statistical methods through one- and two-sample
inference, regression, correlation, one-way analysis of
variance, analysis of covariance, and simple methods of
categorical data analysis. Course emphasizes implementation and
interpretation of statistical methods. Statistical software
(SAS) is integrated into the course.
Athena Title
Statistical Methods Researcher
Equivalent Courses
Not open to students with credit in STAT 6210, STAT 6210E, STAT 6315E
Prerequisite
Permission of department
Semester Course Offered
Offered fall, spring and summer
Grading System
A - F (Traditional)
Student Learning Outcomes
Students will identify and apply appropriate statistical methods to analyze data.
Students will use statistical software to perform traditional statistical analyses as well as simulations to explore and analyze data.
Students will present and interpret statistical results in a clear and accurate manner, effectively communicating their implications to both technical and non-technical audiences.
Students will evaluate the alignment between study design and the conclusions drawn on real-world decision-making.
Students will plan and implement a data analysis project using real data generated from an on-campus client.
Topical Outline
principles of sampling
descriptive statistics
probability and probability distributions
binomial and normal distributions
sampling distributions
point estimation and confidence interval
hypothesis testing about means and proportions for one and two samples
one-way analysis of variance
correlation, simple and multiple linear regression
categorical data analysis
Institutional Competencies
Analytical Thinking
The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.
Critical Thinking
The ability to pursue and comprehensively evaluate information before accepting or establishing a conclusion, decision, or action.