|Late Deadline||not applicable|
All questions on the quizzes in this course are out of 3 points. When assessing these quizzes, score answers as follows:
- 3 is reserved for excellent responses that that fully explain the answer to the question, show a true understanding of the question being asked, and don’t contain any errors. As a general guideline, we expect no more than 25-30% of answers are likely to receive a 3 on any particular question.
- 2 is awarded for a good response that’s getting at the right idea, but might not explain it fully or might have a few minor errors. 2, indeed, is what the course expects most students are likely to earn. As a general guideline, we expect approximately 50-60% of answers are likely to receive a 2 on any particular question.
- 1 is awarded for an inadequate response that misses the mark, is wholly incorrect, or otherwise fails to answer what the question is asking.
- 0 is given to answers that are exceedingly brief, or blank, and as such are effectively non-responses.
The above rubric should be applied for all questions on the quiz.
If you give a score lower than full credit, please include a brief comment in the “Provide comments specific to this submission” section of the form. You can also re-use comments in the “Apply Previously Used Comments” to save time so that you don’t find yourself typing the same thing over and over!
- 1/4 = 0.25
- 4/13 ≈ 0.308
- 1/221 = 0.005
- 1/17 ≈ 0.059
- P(2H) = 0.25
- P(1H, 1T) = 0.5
- P(2T) = 0.25
- Yes. The arrow from Train to Appointment means that the Appointment distribution is conditional on the Train distribution.
- Yes. The arrow from Maintenance to Train means that the Train distribution is conditional on the Maintenance distribution.
- Yes. The arrow from Maintenance to Train and then from Train to Appointment means that Appointment is conditional on Train, which is conditional on Maintenance.
- No. Given that we know the value of Train, no other variables affect the Appointment distribution.
- ≈ 0.429