Loading in 5 sec....

Utilizing a Digital Library to Teach Introductory StatisticsPowerPoint Presentation

Utilizing a Digital Library to Teach Introductory Statistics

Download Presentation

Utilizing a Digital Library to Teach Introductory Statistics

Loading in 2 Seconds...

- 84 Views
- Uploaded on
- Presentation posted in: General

Utilizing a Digital Library to Teach Introductory Statistics

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Utilizing a Digital Library to Teach Introductory Statistics

Joint Fall Conference, TMTA and MTMT

Utilizing a Digital Library to Teach Introductory Statistics

Lisa Bloomer Green, Ph. D.

Scott McDaniel, Ed. D.

Ginger Holmes Rowell, Ph. D.

Megan Duffey*, Ileah McKee*

*Undergraduate Students

Middle Tennessee State University

Outline

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

CAUSE

Consortium for the Advancement of Undergraduate Statistics Education

CAUSEweb Searching: Browse Categories

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

Advanced Searching

- Conditional probability
- Keyword
- Filter by math level

- Hypothesis testing
- Keyword
- Math level
- Lecture presentation

Case Study + Case Teaching Notes

Case Study ExampleTeacher’s Viewpoint:

= a “Ready-To-Go” Classroom Lesson

Finding “Related” Items

Related (or Companion) Items are Identified

Outline

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

Lecture

Assess

- PowerPoint slides
- Reference Materials
- History
- Demonstrations:
- Applets
- Videos
- Simulations

- Data Sets
- Case Studies
- Guided Demos
- Simulations
- Laboratories
- Applets

- Tutorials

- Teacher-directed assessments
- Laboratories
- Homework Problems

- Self-directed assessments
- Immediate Feedback

Outline

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

Explore

Assess

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. Glosser’s 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.

Explore

Assess

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.

Whatever applet we choose goes here. Pause to do a worksheet.

Applet

http://www.shodor.org/~rcogan/interactivate/activities/index.html#pro

Lecture worksheet.

Explore

Assess

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. Glosser’s Math Goodies Lesson on Conditional Probability, can be given to students who miss a class or students that would like additional instruction.

Lecture worksheet.

Explore

Assess

Tutorials, such as Mrs. Glosser’s 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.

http://people.hofstra.edu/faculty/Stefan_Waner/RealWorld/tutorialsf3/frames6_5B.htmlhttp://people.hofstra.edu/faculty/Stefan_Waner/RealWorld/tutorialsf3/frames6_5B.html

http://ocw.mit.edu/OcwWeb/Mathematics/18-05Spring-2005/CourseHome/index.htmhttp://ocw.mit.edu/OcwWeb/Mathematics/18-05Spring-2005/CourseHome/index.htm

Lecturehttp://ocw.mit.edu/OcwWeb/Mathematics/18-05Spring-2005/CourseHome/index.htm

Explore

Assess

Introduction to Probability and Statistics

Lecturehttp://ocw.mit.edu/OcwWeb/Mathematics/18-05Spring-2005/CourseHome/index.htm

Explore

Assess

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.

Lecturehttp://ocw.mit.edu/OcwWeb/Mathematics/18-05Spring-2005/CourseHome/index.htm

Explore

Assess

This slide from Sampling Distributions can help a teacher guide a discussion on when the sample mean can be assumed to be normally distributed.

http://www.stat.psu.edu/~resources/ClassNotes/hrm_08/sld018.htmhttp://www.stat.psu.edu/~resources/ClassNotes/hrm_08/sld018.htm

Lecturehttp://www.stat.psu.edu/~resources/ClassNotes/hrm_08/sld018.htm

Explore

Assess

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.

- Applethttp://www.stat.psu.edu/~resources/ClassNotes/hrm_08/sld018.htm

Applet

http://kitchen.stat.vt.edu/~sundar/java/applets/CLTApplet.html

Lecturehttp://www.stat.psu.edu/~resources/ClassNotes/hrm_08/sld018.htm

Explore

Assess

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.

Lecturehttp://www.stat.psu.edu/~resources/ClassNotes/hrm_08/sld018.htm

Explore

Assess

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.

Lecturehttp://www.stat.psu.edu/~resources/ClassNotes/hrm_08/sld018.htm

Explore

Assess

An in-class activity from the STAR Library can help introduce the concept of regression.

http://www.causeweb.org/repository/StarLibrary/activities/buskirk_young2001/http://www.causeweb.org/repository/StarLibrary/activities/buskirk_young2001/

Lecturehttp://www.causeweb.org/repository/StarLibrary/activities/buskirk_young2001/

Explore

Assess

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.

Regressionhttp://www.causeweb.org/repository/StarLibrary/activities/buskirk_young2001/

applet

http://stat-www.berkeley.edu/~stark/Java/Html/Correlation.htm

Lecturehttp://www.causeweb.org/repository/StarLibrary/activities/buskirk_young2001/

Explore

Assess

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.

http://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tiehttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Lecturehttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Explore

Assess

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.

Lecturehttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Explore

Assess

The Intuitor site contains an introduction to hypothesis testing, relating it to what happens at a criminal trial.

http://www.intuitor.com/statistics/T1T2Errors.htmlhttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Lecturehttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Explore

Assess

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.

http://www.cvgs.k12.va.us/DIGSTATS/Sitemap.htmlhttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Acid Rain Activityhttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Acid Rain Datahttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Lecturehttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Explore

Assess

DIGSTATS contains examples and data sets, like the one below about Acid Rain.

The ARTIST database contains questions classified by topic and learning outcomes.

https://ore.gen.umn.edu/artist/index.htmlhttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

Outlinehttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

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

Lisa Greenhttp://aerg.canberra.edu.au/cgi-bin/tiegen?/share/www/envirostats/bm/L6/ffq12.tie

lbgreen@mtsu.edu

Scott McDaniel

smcdanie@mtsu.edu

Ginger Holmes Rowell

rowell@mtsu.edu