Analysis Tool: ANOVA (ANalysis Of VAriance between groups)

A computational tool that runs the one-way ANOVA by the user inputing individual data or by copying and pasting a delimitted data set.

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Author Name: 
Thomas Kirkman
Technical Requirements: 
Java enabled browser
Content Quality Concerns: 
The technical jargon is hard to read (even for someone used to statistical jargon). I had to reread sentences several times in order to try to understand what they were trying to say. The equations could be set up better and the motivation for using an F test also could be set up better. Graphics would be nice to set up the problem as well. Also, the last section needs to be expanded, maybe with an example. Another concern is that the explanation of ANOVA might not be enough for those just learning about it for the first time.
Content Quality Strengths: 
The problem is set up nicely and an interesting example is used. Students can quickly get results if they use the tool appropriately.
Ease of Use Concerns: 
I kept getting errors when I tried to enter in a small sample size per group (i.e. 1 or 2). It might be good to tell students the minimum sample size needed to enter.
Ease of Use Strengths: 
It is easy for students to type in their own data, and the output is easy to understand.
Potential Effectiveness Concerns: 
The language makes it hard to read and comprehend. I would guess students would get confused on what they are reading and then skip this page and go straight to analyzing the data. If that's the case, it might be better to make the presentation of information shorter and more concise. The format of the page needs to be modified to be more visually pleasing (i.e., breaking up the sections more, emphasizing certain things with font changes). Graphics might also help here. A question that should be asked is: what is the purpose of the material presented? What is it that you want students to get out of the content page?
Potential Effectiveness Strengths: 
It's nice here that there is an attempt to make connections to previously learned material (such as t-tests) and that students can use their own data.
Content Quality Rating: 
Ease of Use Rating: 
Potential Effectiveness Rating: 
Source Code Available: 
Source Code Available
Resource Type: 
Free for All

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