← ← Imagine that you can predict the class's scores on the Tests for
Understanding in this course. In Week 1, there was a bimodal
distribution. In Week 2, there was a positive skew. In Week 3, there
was a normal distribution. In Week 4, there was a negative skew.
What do these different scores tell you about the tests in Weeks 1, 2,
3, and 4? What is happening to the students' scores over time?
What type of distribution would the instructor most want to see if the
best result is that most students earn an average score?

Question

← ← Imagine that you can predict the class's scores on the Tests for
Understanding in this course. In Week 1, there was a bimodal
distribution. In Week 2, there was a positive skew. In Week 3, there
was a normal distribution. In Week 4, there was a negative skew.
What do these different scores tell you about the tests in Weeks 1, 2,
3, and 4? What is happening to the students' scores over time?
What type of distribution would the instructor most want to see if the
best result is that most students earn an average score?

anonymous · Answer

http://en.wikipedia.org/wiki/File:Bimodal.png http://en.wikipedia.org/w/index.php?title=File:Negative_and_positive_skew_diagrams_(English).svg&page=1 http://en.wikipedia.org/w/index.php?title=File:Standard_deviation_diagram.svg&page=1 You can see that from week 1 to week 2, the lower part of the class catches up to the smarter guys and the material becomes harder. Week 2 to week 3, everyone starts doing better on the tests. Week 3 to week 4, everyone gets even better.