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How Statistical Educators Can Attract Students to the Discipline of Statistics

This website is a resource of teaching methods and approaches that instructors at all levels of statistics education can use to generate student interest in pursuing more study or a career in the field of statistics.
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Date Of Record Creation 2006-09-27 11:21:00
Date Last Modified 2006-10-04 12:51:00
Date Of Record Release 2006-09-27 11:21:00
Alternate Title Sample Size and Power calculations
Source http://www.physics.csbsju.edu/stats/
Relation http://www.physics.csbsju.edu/stats/fisher.form.html
Email Address eby@messiah.edu
Date Issued 1998
Resource Type
Audience
Format
Typical Learning Time Various
Author Name L. Marlin Eby
Author Organization Messiah College
General Comments Subpages still exist, but this one does not.
Technical Requirements Java enabled browser
Comments The link is broken.
Content Quality (Concerns) While the applet is nice, I feel that it is somewhat simplistic. Once a student has guessed a few correlations, I don't know that they would have the impetus to continue trying to guess correlations or to look at other things in the applet. Specific directions for the students would be helpful. Also, there are no instructions on the activity page.
Content Quality (Strengths) The ability to change the sample size is nice. The availability of different plots is also nice. This tool is visual with immediate feedback.
Ease of Use (Concerns) Again, it seems that students may need instructions to be able to fully use this applet.
Ease of Use (Strengths) It's a nice applet with options other than just guessing correlations. The graphics are clear and understandable once the student knows what he or she is looking at. Once you understand what to do, it is very easy.
Potential Effectiveness (Concerns) The instructions for the applet are not entirely clear for a student who has not been shown the applet.
Potential Effectiveness (Strengths) This applet is effective for student learning and immediate feedback, since the students can see how close they guess the correlation.
Source Code Available 1
Material Type
Statistical Topic
Application Area
Copyrights
Cost involved with use
Intended User Role
Math Level

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