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Statistical Analysis of Methods to Repair Cracked Steel
| Content Provider | TeachEngineering: STEM curriculum for K-12 |
|---|---|
| Author | Ramirez, Miguel R. Dawood, Mina Zheng, Botong |
| Copyright Year | 2016 |
| Description | 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. 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. |
| Language | English |
| Access Restriction | Open |
| Rights Holder | Regents of The University of Colorado University of Houston |
| Subject Keyword | Data Analysis and Probability Science and Technology Five Number Summary Carbon Fiber Bar Graph Pareto Chart Box-and-whisker Plot Ap Statistics Carbon Fiber Reinforced Polymer Carbon-fiber-reinforced Polymer Fatigue Graphing Polymers Fatigue Life Steel Structures Data Analysis Structure Rehabilitation Five-number Summary Exploratory Data Analysis Civil Engineering Infrastructure Mean Statistical Analysis Standard Deviation Statistics |
| Content Type | Text |
| Time Required | PT5H |
| Education Level | Class XI Class XII |
| Pedagogy | Experimental Activity |
| Resource Type | Hands-on |
| Subject | Probability Technical |
