Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation

A simple activity is described which is appropriate for any class dealing with measurement. It introduces students to the important scientific process of mathematical modeling and online collaboration. Students, working in groups, determine the mass of a bolt indirectly by extrapolation from massing...

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Main Authors: Scott A Sinex, Theodore L Chambers, Joshua B Halpern
Format: Article
Language:English
Published: Bond University
Series:Spreadsheets in Education
Online Access:http://sie.scholasticahq.com/article/4590-mass-measurement-materials-and-mathematical-modeling-the-nuts-and-bolts-of-extrapolation.pdf
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spelling doaj-c2267d1450b44434b12520c3cf3b81322020-11-25T00:29:47ZengBond UniversitySpreadsheets in Education1448-6156Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of ExtrapolationScott A SinexTheodore L ChambersJoshua B HalpernA simple activity is described which is appropriate for any class dealing with measurement. It introduces students to the important scientific process of mathematical modeling and online collaboration. Students, working in groups, determine the mass of a bolt indirectly by extrapolation from massing the bolt with one to five nuts on it and determining the equation of the line; the y-intercept being the mass of the bolt. Students gain experience with using a balance, graphing data, and analyzing results using algebraic skills. They calculate percent error after measuring the bolt’s mass directly and can compare this with the error limits from the least squares fit. Groups enter data into a web-based form and the data is examined by the class using Google Docs in a collaborative manner. After entering data in Google Docs, the students use an interactive Excel spreadsheet to compare their results to the best-fit line obtained by linear regression (pre-built into the spreadsheet for novices). In the spreadsheet, they further explore the model to gain an understanding and examine the influence of scatter (error) in the data and material density.http://sie.scholasticahq.com/article/4590-mass-measurement-materials-and-mathematical-modeling-the-nuts-and-bolts-of-extrapolation.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Scott A Sinex
Theodore L Chambers
Joshua B Halpern
spellingShingle Scott A Sinex
Theodore L Chambers
Joshua B Halpern
Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation
Spreadsheets in Education
author_facet Scott A Sinex
Theodore L Chambers
Joshua B Halpern
author_sort Scott A Sinex
title Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation
title_short Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation
title_full Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation
title_fullStr Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation
title_full_unstemmed Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation
title_sort mass, measurement, materials, and mathematical modeling: the nuts and bolts of extrapolation
publisher Bond University
series Spreadsheets in Education
issn 1448-6156
description A simple activity is described which is appropriate for any class dealing with measurement. It introduces students to the important scientific process of mathematical modeling and online collaboration. Students, working in groups, determine the mass of a bolt indirectly by extrapolation from massing the bolt with one to five nuts on it and determining the equation of the line; the y-intercept being the mass of the bolt. Students gain experience with using a balance, graphing data, and analyzing results using algebraic skills. They calculate percent error after measuring the bolt’s mass directly and can compare this with the error limits from the least squares fit. Groups enter data into a web-based form and the data is examined by the class using Google Docs in a collaborative manner. After entering data in Google Docs, the students use an interactive Excel spreadsheet to compare their results to the best-fit line obtained by linear regression (pre-built into the spreadsheet for novices). In the spreadsheet, they further explore the model to gain an understanding and examine the influence of scatter (error) in the data and material density.
url http://sie.scholasticahq.com/article/4590-mass-measurement-materials-and-mathematical-modeling-the-nuts-and-bolts-of-extrapolation.pdf
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