Midterm Quiz 2 - GT Students and VeriÕed 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)
...
Midterm Quiz 2 - GT Students and VeriÕed 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.
Information for Question 1
There are Õve questions labeled "Question 1." Answer all Õve questions. For each of the following Õve 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
Õve questions.
Question 1
1.4/1.4 points (graded)
Number of days in a year where the temperature is more than 3 degrees higher than forecast
Binomial
You have used 1 of 1 attempt
Question 1
1.4/1.4 points (graded)
Number of phone calls made by a telemarketer until one is answered
Geometric
You have used 1 of 1 attempt
Question 1
1.4/1.4 points (graded)
Time from the beginning of Fall until the Õrst snowÖake is seen
Weibull
You have used 1 of 1 attempt
Question 1
1.4/1.4 points (graded)
Time from when a house is put on the market until the Õrst oàer is received
Weibull
You have used 1 of 1 attempt
Question 1
Submit
Submit
Submit
Submit5/1/2020 Midterm Quiz 2 - GT Students and Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b4f10a9/?activate_block_id=block-v1%3AGTx%2BISYE6501x%2B1T2020%2Btype%40sequential%2Bblock%401b57ff6ea64c40cf8f4eb69d2b4f10a9 2/11
Answers are displayed within the problem
1.4/1.4 points (graded)
Time from when a generator is turned on until it fails
Weibull
You have used 1 of 1 attempt
Questions 2a, 2b
5.0/10.0 points (graded)
Five classiÕcation 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).
Because ratings are unavailable for newly-opened schools, it is believed that locations that have recently experienced high population growth are
more likely to have missing school rating data.
Model 1 used imputation, Õlling in the missing data with the average school rating from the rest of the data.
Model 2 used imputation, building a regression model to Õll in the missing school rating data based on other variables.
Model 3 used imputation, Õrst building a classiÕcation model to estimate (based on other variables) whether a new school is likely to have
been built as a result of recent population growth (or whether it hasC
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