Data Analysis for Elementary and Middle School Teachers
STAT(EMAT) 4050/6050
3 hours
Data Analysis for Elementary and Middle School Teachers
Course Description
Univariate analysis for measurement data using graphs and
numerical summaries; bivariate analysis for measurement data
using scatterplots, correlation, and fitting lines; describing
categorical data; sampling methods; observational and
experimental studies; describing random behavior; binomial and
normal distributions; sampling distributions; confidence
intervals and significance testing; pedagogy methods for
instruction and integrating technology.
Additional Requirements for Graduate Students: Students will be evaluated based on performance on exams,
homework, and group work. Graduate students will be required to
prepare a project by designing activities that can potentially be
used in the classroom.
Athena Title
Data Analysis for Teachers
Equivalent Courses
Not open to students with credit in STAT 4070 or STAT 6070
Prerequisite
STAT 2000 or STAT 2000E or STAT 2100H
Grading System
A - F (Traditional)
Student Learning Outcomes
Students will learn statistical techniques for collecting and analyzing data with an emphasis on statistical thinking and how statistics is used in everyday situations.
Students will learn how to read data summaries critically, how to produce data, how to explore data descriptively (numerically and graphically), how to use sound and appropriate methods for drawing trustworthy conclusions, how to make defensible descriptions and inferences about samples and populations, how to distinguish between observational and experimental studies, and how to communicate the appropriate conclusions of statistical studies (both orally and written).
Students will be better prepared to develop and teach data analysis at the Pre-K-8 grade level. This includes providing a curriculum that intertwines content and pedagogy; helping teachers understand the importance of providing a data-driven curriculum in their math courses and an understanding of how to use data in all subject areas taught at the Pre-K-8 level. Toward this end, Pre-K-8 mathematics teachers will be introduced to and trained in modern technological resources for classroom instruction including statistical software and statistical calculators.
Topical Outline
summarizing and exploring data for both univariate (histograms, stem and leaf plots, boxplots, dotplots, timeplots, measures of location, measures of dispersion, z-scores, Empirical Rule) and bivariate analysis (scatterplots, correlation, regression, contingency tables, conditional proportions)
study design, including sampling techniques for surveys, and the design of experimental and observational studies;
