Using a Digital Library to Teach Statistics

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Using a Digital Library to Teach Statistics

• ICTCM, March 2006

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Using a Digital Library to Teach Statistics

• Lisa Bloomer Green, Ph. D.
• Scott McDaniel, Ed. D.
• Ginger Holmes Rowell, Ph. D.
• Megan Hall, Ileah McKee
• Undergraduate Students
• Middle Tennessee State University

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Outline

• CAUSE and CAUSEweb
• Using Internet Resources throughout the Learning
  Cycle
• Specific Examples Activities
• Your Ideas

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CAUSE

• Consortium for the Advancement of
  Undergraduate Statistics Education

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CAUSEweb Resources

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CAUSEweb Searching Browse Categories

• Lecture Examples
• Laboratories
• Out-of-class
• Teaching Tips
• Datasets
• Analysis Tools
• Curriculum
• Humor
• Building Blocks
• Multimedia

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Browsing by Statistical Topic
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CAUSEweb Advanced Search
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Advanced Searching

• Conditional probability
• Keyword
• Filter by math level
• Hypothesis testing
• Keyword
• Math level
• Lecture presentation

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A Teaching Example

• Applet Activity

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Finding Related Items

• Related (or Companion) Items are Identified

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Outline

• CAUSE and CAUSEweb
• Using Internet Resources throughout the Learning
  Cycle
• Specific Examples
• Your Ideas

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(No Transcript)
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Outline

• CAUSE and CAUSEweb
• Using Internet Resources throughout the Learning
  Cycle
• Specific Examples
• Your Ideas

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To help students understand the use of
conditional probability, a teacher can lead a
demonstration of the Monty Hall Problem using one
of the many available Internet applets.
Tutorials, such as Mrs. Glossers Math Goodies
Lesson on Conditional Probability, can be given
to students who miss a class or students that
would like additional instruction.
In some self-assessment tools like Trees and
Conditional Probability from Tutorials for Finite
Math, students receive immediate feedback when
answering questions including hints for incorrect
answers and steps to correct solutions.
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To help students understand the use of
conditional probability, a teacher can lead a
demonstration of the Monty Hall Problem using one
of the many available Internet applets.
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Whatever applet we choose goes here. Pause to do
a worksheet.
Applet
18
To help students understand the use of
conditional probability, a teacher can lead a
demonstration of the Monty Hall Problem using one
of the many available Internet applets.
Tutorials, such as Mrs. Glossers Math Goodies
Lesson on Conditional Probability, can be given
to students who miss a class or students that
would like additional instruction.
19
(No Transcript)
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To help students understand the use of
conditional probability, a teacher can lead a
demonstration of the Monty Hall Problem using one
of the many available Internet applets.
Tutorials, such as Mrs. Glossers Math Goodies
Lesson on Conditional Probability, can be given
to students who miss a class or students that
would like additional instruction.
In some self-assessment tools like Trees and
Conditional Probability from Tutorials for Finite
Math, students receive immediate feedback when
answering questions including hints for incorrect
answers and steps to correct solutions.
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http//people.hofstra.edu/faculty/Stefan_Waner/Rea
lWorld/tutorialsf3/frames6_5B.html
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(No Transcript)
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Introduction to Probability and Statistics
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This slide from Sampling Distributions can help a
teacher guide a discussion on when the sample
mean can be assumed to be normally distributed.
This applet from Statistical Java demonstrates
the convergence implied by the central limit
theorem by allowing students to manipulate sample
size, number of samples, and underlying
distribution.
This guided applet activity from Wise includes
assessment questions that, when answered
correctly, allow students to proceed to new
concepts.
25
This slide from Sampling Distributions can help a
teacher guide a discussion on when the sample
mean can be assumed to be normally distributed.
26
(No Transcript)
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This slide from Sampling Distributions can help a
teacher guide a discussion on when the sample
mean can be assumed to be normally distributed.
This applet from Statistical Java demonstrates
the convergence implied by the central limit
theorem by allowing students to manipulate sample
size, number of samples, and underlying
distribution.
28

• Applet

Applet
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This slide from Sampling Distributions can help a
teacher guide a discussion on when the sample
mean can be assumed to be normally distributed.
This applet from Statistical Java demonstrates
the convergence implied by the central limit
theorem by allowing students to manipulate sample
size, number of samples, and underlying
distribution.
This guided applet activity from Wise includes
assessment questions that, when answered
correctly, allow students to proceed to new
concepts.
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Using StatCrunch
http//www.statcrunch.com/
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Using StatCrunch

• Data -gt Simulate Data -gt Normal
• Graphics -gt Histogram

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Using StatCrunch

• Try
• Load sample data
• Create a scatterplot
• Calculate summary statistics
• Calculate a T-statistic value

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An in-class activity from the STAR Library can
help introduce the concept of regression.
Applets like this one from SticiGui Java Tools
allow students to explore changes in the data to
see how they affect the regression line.
Using self-tests like this one from Biometry
Statistics for Ecology, students can submit their
answers and receive immediate feedback regarding
questions answered correctly and questions or
topics needing improvement.
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An in-class activity from the STAR Library can
help introduce the concept of regression.
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http//www.causeweb.org/repository/StarLibrary/act
ivities/buskirk_young2001/
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Insert data into TI-83
http//www.cvgs.k12.va.us/DIGSTATS/Sitemap.html
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Use StatCrunch

• Use StatCrunch to determine the Regression line
  for the rebound height.

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An in-class activity from the STAR Library can
help introduce the concept of regression.
Applets like this one from SticiGui Java Tools
allow students to explore changes in the data to
see how they affect the regression line.
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Regression
applet
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An in-class activity from the STAR Library can
help introduce the concept of regression.
Applets like this one from SticiGui Java Tools
allow students to explore changes in the data to
see how they affect the regression line.
Using self-tests like this one from Biometry
Statistics for Ecology, students can submit their
answers and receive immediate feedback regarding
questions answered correctly and questions or
topics needing improvement.
41
http//aerg.canberra.edu.au/cgi-bin/tiegen?/share/
www/envirostats/bm/L6/ffq12.tie
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DIGSTATS contains examples and data sets, like
the one below about Acid Rain.
The Intuitor site contains an introduction to
hypothesis testing, relating it to what happens
at a criminal trial.
The ARTIST database contains questions classified
by topic and learning outcomes.
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The Intuitor site contains an introduction to
hypothesis testing, relating it to what happens
at a criminal trial.
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(No Transcript)
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DIGSTATS contains examples and data sets, like
the one below about Acid Rain.
The Intuitor site contains an introduction to
hypothesis testing, relating it to what happens
at a criminal trial.
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(No Transcript)
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(No Transcript)
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Acid Rain Activity
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Evaluate Acid Rain Data using StatCrunch

• Data -gt Load Data -gt from paste

• Stat -gt T Statistics -gt One sample

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DIGSTATS contains examples and data sets, like
the one below about Acid Rain.
The Intuitor site contains an introduction to
hypothesis testing, relating it to what happens
at a criminal trial.
The ARTIST database contains questions classified
by topic and learning outcomes.
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(No Transcript)
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Exploring ARTIST

• Test of Significance Literacy, Reasoning,
  Thinking

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Outline

• CAUSE and CAUSEweb
• Using Internet Resources throughout the Learning
  Cycle
• Specific Examples
• Your Ideas

54

• Lisa Green
• lbgreen_at_mtsu.edu
• Scott McDaniel
• smcdanie_at_mtsu.edu
• Ginger Holmes Rowell
• rowell_at_mtsu.edu