NDLI: Applying Statistics to Nano-Circuit Dimensions in Fabrication

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Applying Statistics to Nano-Circuit Dimensions in Fabrication

Content Provider	TeachEngineering: STEM curriculum for K-12
Author	Ramirez, Miguel R. Yu, Cunjiang Xu, Minwei Chen, Song
Copyright Year	2015
Description	Students measure nano-circuits using a typical classroom computer and (the free-to-download) GeoGebra geometry software. Inserting (provided) circuit pictures from a high-resolution microscope as backgrounds in GeoGebra's graphing window, students use the application's tools to measure lengths and widths of circuit elements. Measuring the dimensions of nano-circuits requires an expensive, high-resolution microscope with integrated video camera and a computer with sophisticated imaging software, but in this activity, students measure nano-circuits using a typical classroom computer and (the free-to-download) GeoGebra geometry software. Inserting (provided) circuit pictures from a high-resolution microscope as backgrounds in GeoGebra's graphing window, students use the application's tools to measure lengths and widths of circuit elements. To simplify the conversion from the on-screen units to the real circuits' units and the manipulation of the pictures, a GeoGebra measuring interface is provided. Students export their data from GeoGebra to Microsoft® Excel® for graphing and analysis. They test the statistical significance of the difference in circuit dimensions, as well as obtain a correlation between average changes in original vs. printed circuits' widths. 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 below for details.
Language	English
Access Restriction	Open
Rights Holder	Regents of The University of Colorado University of Houston
Subject Keyword	Data Analysis and Probability Data Analysis Diffraction Flexible Circuit Hypothesis Testing Geogebra Linear Regression Statistical Analysi Measurement Printed Circuit Log-log Graph Power Regression Circuits Statistics Wearable Electronics
Content Type	Text Video
Time Required	PT6H45M
Education Level	Class XI Class XII
Pedagogy	Experimental Activity Lecture cum Demonstration
Resource Type	Hands-on
Subject	Probability

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