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?
What type of distribution would the students like to see in order to be most likely to earn a good grade?
Please explain your answers.