In-person – Summer Workshops – Afternoon Session: Teaching Data Analysis Using Graphs and Statistics

This 5-day, in-person workshop will be held Monday-Friday 1:30pm-5:00pm, July 24-28 on the University of North Carolina Asheville campus in Room 226 on the 2nd floor of Zeis Hall. The purpose of this session is to help teachers lead students through data analysis using graphic methods and statistical hypothesis tests. Participants in this workshop will learn to clean, organize, and describe data using statistical descriptors (mean, median, mode, variance, standard deviation, and standard error of the mean) and practice analyzing data using common statistical tests (chi-squared tests, t-tests, ANOVAs, correlations, and regressions). Teachers will gain experience interpreting graphic and statistical outcomes and learn to make conclusive, evidence-supported claims. Throughout the week, participants will be exposed to several different statistical analysis programs (HHMI’s Data Explorer, DataClassroom, R, Excel, and Google Sheets) so each person can choose the best tool for use in their classroom. Teachers will come away with a folder of practice data sets, activities, and lessons to teach these techniques to their students. No previous experience (or recollection) of statistics is needed and there is no minimum math ability required. I offer this session specifically to help those who are intimidated by stats and data analysis and provide a warm and supportive environment to take risks and make mistakes until confidence and mastery is attained. Although we will discuss the applications of data analysis in math and science for IB, AP, NGSS, and university-level content; teachers at all levels and subject areas are welcome. The morning session is an optional experience that complements the afternoon session. Participants are encouraged to enroll in both if desired or to spend the morning enjoying Asheville.