Course Midter… Midter… Midter…
Midterm Quiz 2 - GT Students and Veri ed MM Learners
90 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the following resources:
One sheet (both sides) of handwritten (not photocopied or scanned) notes
If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like
Calvin):
Good Luck!
This the beginning of Midterm Quiz 2. Please make sure that you submit all your answers
before the time runs out. Once you submit an answer to a question, you cannot change it.
There is no overall Submit button.
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Information for Question 1
There are ve questions labeled "Question 1." Answer all ve questions. For each of the
following ve questions, select the probability distribution that could best be used to model
the described scenario. Each distribution might be used, zero, one, or more than one time in
the ve questions.
Question 1
0.0/1.4 points (graded)
Time between people clicking an online banner ad
Weibull Answer: Exponential
Submit You have used 1 of 1 attempt
Answers are displayed within the problem
Question 1
0.0/1.4 points (graded)
Number of people clicking an online banner ad each hour
Exponential Answer: Poisson
Submit You have used 1 of 1 attempt
Answers are displayed within the problem
Question 1
0.0/1.4 points (graded)
Time from when a house is put on the market until the rst o er is received
Poisson Answer: Weibull
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Submit You have used 1 of 1 attempt
Answers are displayed within the problem
Question 1
0.0/1.4 points (graded)
Number of hits to a real estate web site each minute
Binomial Answer: Poisson
Submit You have used 1 of 1 attempt
Answers are displayed within the problem
Question 1
0.0/1.4 points (graded)
Time from the start of a World Cup soccer match until a goal is scored
Poisson Answer: Weibull
Submit You have used 1 of 1 attempt
Answers are displayed within the problem
Questions 2a, 2b
5.0/10.0 points (graded)
Five classi cation models were built for predicting whether a neighborhood will soon see a
large rise in home prices, based on public elementary school ratings and other factors. The
training data set was missing the school rating variable for every new school (3% of the data
points).
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