Course Description
Revisit introductory statistics concepts to develop a deeper subject matter knowledge for teaching: Study design, probability, graphical representations and numerical summaries of univariate and bivariate data, formal and simulation-based inference. Develop pedagogical content knowledge: Examine student thinking, investigate statistics standards and policy documents, explore appropriate technology, practice content-specific teaching strategies.
Additional Requirements for Graduate Students:
Additional problems of a more in-depth nature will be required for graduate students.
Athena Title
Stat for Secondary Teachers
Equivalent Courses
Not open to students with credit in STAT 4050, EMAT 4050 or STAT 6050, EMAT 6050
Undergraduate Prerequisite
STAT 2000 or STAT 2000E or STAT 2100H or BUSN 3000 or BUSN 3000E or BUSN 3000H or BIOS 2010 or BIOS 2010E
Graduate Prerequisite
STAT 6210 or STAT 6210E
Grading System
A - F (Traditional)
Student Learning Outcomes
- Students will apply appropriate statistical techniques to collect, summarize, represent, analyze, and interpret univariate and bivariate data.
- Students will make inferences and justify conclusions from experiments and observational studies.
- Students will explore and use appropriate technology to analyze data.
- Students will develop pedagogical content knowledge by analyzing students’ statistical thinking.
- Students will examine the scope and sequence of current statistics and probability standards in school mathematics curriculum.
- Students will plan instructional activities to support students’ statistical reasoning.
Topical Outline
- Introduction to the statistical problem-solving process
- Analyze and interpret univariate data, both graphically and numerically
- Analyze and interpret bivariate data, both graphically and numerically
- Study design, including sampling techniques and the design of experimental and observational studies
- Probability and probability distributions
- Sampling distributions
- Formal and simulation-based inference for means and proportions, including confidence intervals and hypothesis test
- Inference for categorical data, including chi-squared tests
- Linear regression, including simple and multiple linear regression and inference for regression
- National and state standards for statistical reasoning, data analysis, and probability
- Analyze students’ statistical thinking
- Instructional tools, including appropriate use of technology
