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Recycling Online Math Projects

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Recycling Online Math Projects. Mary Beth Orrange. Professor Mathematics. Erie Community College ... 83 and TI-84 calculators to determine the linear regression ... – PowerPoint PPT presentation

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Title: Recycling Online Math Projects


1
Recycling Online Math Projects
Presented at NYSMATYC April 21, 2007 Niagara
Falls, New York Math on the Web Themed Session
  • Mary Beth Orrange
  • Professor Mathematics
  • Erie Community College
  • orrange_at_ecc.edu

2
Credit goes to
  • Leslie Redwine
  • Prince Georges Community College

for introducing me to this project.
3
Projects online
  • The purpose of incorporating projects into an
    online course is to create a sense of application
    generally developed in a seated class and is
    often omitted in the online environment.

I incorporated the use of MathXL into my online
class a year ago. Assigning projects balances
the emphasis on skill development.
I survey my students regarding many of the
features in the online environment. One of the
highest rated features is the projects!
4
Projects online
  • Three projects throughout the semester
  • Numerical
  • Linear Modeling
  • Modeling with Exponents and Logarithms

The linear modeling project is the one described
in this presentation. The project stays the
same, but the data differs from semester to
semester.
5
Linear Modeling Project Data
  • Data sets I have used
  • Price of first class postage stamps (original)
  • The Federal minimum wage
  • College tuition and fees in community colleges
  • First year college enrollment in public colleges
    in New York state
  • US consumption of oil and petroleum over the years

6
Linear Modeling Project Data
  • References
  • Price of first class postage stamps (original)
    Data found at the website http//www.akdart.com/
    postrate.html
  • The data for the the Federal minimum wage was
    found at the website
  • http//www.dol.gov/esa/minwage/chart.htm
  • College tuition and fees in community colleges as
    well as the First year college enrollment in
    public colleges in New York state was found in
    the Digest of Educational Statistics, 2004 Table
    313. 
  • The data for the US consumption of oil and
    petroleum project was found at the Energy
    Information Administration, Official Energy
    Statistics from the US Government. Data
    published on 10/2/2006 http//tonto.eia.doe.gov/dn
    av/pet/hist/mttupus2a.htm

7
Cost of First Class Postage Stamps
8
Federal Minimum Wage
9
Tuition
10
Enrollmentin Public Colleges in New York State
11
Linear Modeling Project
  • Three pages in the project folder
  • Things to practice before starting the project
  • The project assignment
  • Use your calculator the regression line

Students may choose to work together in groups,
but at this time it is not required.
12
Before
  • Make sure you know how to use the following
    before you tackle the Linear modeling project
  • How to use the slope formula (y2-y1)/(x2- x1)
  • How to write an equation of a line using the
    point-slope formula  y - y1 m(x - x1)
  • Change a line from the point-slope form into the
    Slope-Intercept form of a line y mxb

13
Before cont
  • Find and interpret the x-intercept of a line, let
    y 0 and find the value for x. 
  • Find and interpret the y-intercept of a line, it
    is b when the equation is in the form y mxb 
  • Learn how to find the line of best fit or
    regression line on your calculator.

14
Project Requirements
  • Describe the data set in words
  • Construct a scatter plot of the data
  • Pick any three ordered pairs from the data
  • Find the slope and equation of the line passing
    through the points, two at a time.

Stamp data
15
Project Requirements cont
  • Using the equation of each of the lines found,
    calculate and describe the meaning of the
    x-intercepts.
  • Using the equation of each of the lines found,
    calculate and describe the meaning of the
    y-intercepts.

16
Project Requirements cont
  • Using the equations of the lines found, predict
    the y value for years not found in the data.
  • Describe which equation best fits the original
    data set.
  • Find the line-of-best-fit or regression line
    using the entire data set.

17
Instructions to the students
Using your calculator
  • Describe in detail for the students how to use
    the TI-83 and TI-84 calculators to determine the
    linear regression line that fits the given data.

18
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