THis is an activity that can be used to introduce Linear Regression or the relationship between two numerical variables.  Studetns will do an activity, make graphs, and answer questions about the relationship between hand span and the number of candies grabbed.  Then they will be asked to do an exploration on their own.

A full AP® Statistics curriculum that explores relevant data in social issues, economics, medicine, sports, and more. The sequence works well in conjunction with the course CED and the most widely-used AP® Statistics textbooks.

Middle and High School educators across Lebanon County, Pennsylvania developed lesson plans to integrate the Pennsylvania Career Education and Work Standards with the content they teach. This work was made possible through a partnership between the South Central PA Workforce Investment Board (SCPa Works) and Lancaster-Lebanon Intermediate Unit 13 (IU13) and was funded by a Teacher in the Workplace Grant Award from the Pennsylvania Department of Labor and Industry. This lesson plan was developed by one of the talented educators who participated in this project during the 2019-2020 school year.

Students are introduced to the technology of flexible circuits, some applications and the photolithography fabrication process. They are challenged to determine if the fabrication process results in a change in the circuit dimensions since, as circuits get smaller and smaller (nano-circuits), this could become very problematic. The lesson prepares students to conduct the associated activity in which they perform statistical analysis (using Excel® and GeoGebra) to determine if the circuit dimension sizes before and after fabrication are in fact statistically different. A PowerPoint® presentation and post-quiz are provided. This lesson and its associated activity are suitable for use during the last six weeks of the AP Statistics course; see the topics and timing note for details.

Students apply pre-requisite statistics knowledge and concepts learned in an associated lesson to a real-world state-of-the-art research problem that asks them to quantitatively analyze the effectiveness of different cracked steel repair methods. As if they are civil engineers, students statistically analyze and compare 12 sets of experimental data from seven research centers around the world using measurements of central tendency, five-number summaries, box-and-whisker plots and bar graphs. The data consists of the results from carbon-fiber-reinforced polymer patched and unpatched cracked steel specimens tested under the same stress conditions. Based on their findings, students determine the most effective cracked steel repair method, create a report, and present their results, conclusions and recommended methods to the class as if they were presenting to the mayor and city council. This activity and its associated lesson are suitable for use during the last six weeks of the AP Statistics course; see the topics and timing note for details.