allthingsdata

GOAL:  To review ideas about bivariate analysis and sampling distribution within a context that can have students reason about variation across samples and models. This will lay the foundation for inferential statistics and hypothesis testing with regression. Lesson uses real data from the EPA and the online data tool CODAP BIG IDEAS   bivariate quantitative data analysis, scatterplotslinear regression, slope and y-intercept as measuresresiduals and residual plotsvariance as measured by r2sampli

This lesson builds on research of how real world data investigations can be used to engage students to learn key concepts in data science and statistics. The lesson uses a free online data visualization tool (CODAP) and a dataset of 635 roller coasters from US amusement parks in operation in Spring of 2020. Variables like top speed, material used, seating arrangement, length of track, and height quickly engage students in making sense of the data and using their real world and scientific underst

This article describes in more detail how a teacher can use the data investigation process to answer questions about a phenomena of interest, in this case, roller coasters. Provides examples and illustrations. Article was published open access in https://www.statisticsteacher.org/2022/03/23/diggingdata/To learn more about how to teach statistics and data science across the curriculum, visit http://instepwithdata.org to register for FREE online professional development.

A poster in PDF format that can be used by students to remember the 6 phases of a data investigation and the types of processes done in each phase. Poster also includes overarching habits of mind for students to use when working with data. To learn more about how to teach statistics and data science across the curriculum, visit http://instepwithdata.org to register for FREE online professional development.