11/23/22, 9:39 AM GT Students Final Quiz ISYE6501x Courseware ed X
12/10/2020 GT Students | Final Quiz | ISYE6501x Courseware | edX
Course Final Q… Final Q… GT Stu…
GT Students
Final Quiz due Dec 7, 2020 02:00 EST
180 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
Work the problems in any order you wish, but submit your answer to each before ending the exam.
You may use any of the following resources:
Two sheets (both sides) of handwritten (not photocopied or scanned) notes
Blank scratch paper and pen/pencil
If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like Calvin):
Good Luck!
This is the beginning of the Final Quiz. 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.
After submitting all answers, please click the "End my Exam" button, above, before exiting from
ProctorTrack to complete your exam.
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 1/30
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,11/23/22, 9:39 AM GT Students Final Quiz ISYE6501x Courseware ed X
12/10/2020 GT Students | Final Quiz | ISYE6501x Courseware | edX
Information for Question 1
There are eight questions labeled "Question 1." Answer all eight questions. For each of the following eight
questions, select the type of problem that the model is best suited for. For each question there may be more
than one correct answer; you need only choose one. Each type of problem might be used zero, one, or more
than one time in the eight questions.
Question 1
0.5/0.5 points (graded)
Select the type of problem that ARIMA is best suited for. There may be more than one correct answer; you
need only choose one.
Classification
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
9
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that k-nearest-neighbor is best suited for. There may be more than one correct
answer; you need only choose one.
Classification
Clustering
Experimental design
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 2/30
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mailto:https://www.stuvia.com/user/DREAMS 2/30
, 11/23/22, 9:39 AM GT Students Final Quiz ISYE6501x Courseware ed X
12/10/2020 GT Students | Final Quiz | ISYE6501x Courseware | edX
Prediction from feature data
Prediction from time-series data
Variable selection
+
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that exponential smoothing is best suited for. There may be more than one
correct answer; you need only choose one.
Classification
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
9
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that fractional factorial design is best suited for. There may be more than one
correct answer; you need only choose one.
Classification
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 3/30
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mailto:https://www.stuvia.com/user/DREAMS 3/30
12/10/2020 GT Students | Final Quiz | ISYE6501x Courseware | edX
Course Final Q… Final Q… GT Stu…
GT Students
Final Quiz due Dec 7, 2020 02:00 EST
180 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
Work the problems in any order you wish, but submit your answer to each before ending the exam.
You may use any of the following resources:
Two sheets (both sides) of handwritten (not photocopied or scanned) notes
Blank scratch paper and pen/pencil
If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like Calvin):
Good Luck!
This is the beginning of the Final Quiz. 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.
After submitting all answers, please click the "End my Exam" button, above, before exiting from
ProctorTrack to complete your exam.
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 1/30
about:blank
mailto:https://www.stuvia.com/user/DREAMS 1/30
,11/23/22, 9:39 AM GT Students Final Quiz ISYE6501x Courseware ed X
12/10/2020 GT Students | Final Quiz | ISYE6501x Courseware | edX
Information for Question 1
There are eight questions labeled "Question 1." Answer all eight questions. For each of the following eight
questions, select the type of problem that the model is best suited for. For each question there may be more
than one correct answer; you need only choose one. Each type of problem might be used zero, one, or more
than one time in the eight questions.
Question 1
0.5/0.5 points (graded)
Select the type of problem that ARIMA is best suited for. There may be more than one correct answer; you
need only choose one.
Classification
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
9
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that k-nearest-neighbor is best suited for. There may be more than one correct
answer; you need only choose one.
Classification
Clustering
Experimental design
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 2/30
about:blank
mailto:https://www.stuvia.com/user/DREAMS 2/30
, 11/23/22, 9:39 AM GT Students Final Quiz ISYE6501x Courseware ed X
12/10/2020 GT Students | Final Quiz | ISYE6501x Courseware | edX
Prediction from feature data
Prediction from time-series data
Variable selection
+
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that exponential smoothing is best suited for. There may be more than one
correct answer; you need only choose one.
Classification
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
9
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that fractional factorial design is best suited for. There may be more than one
correct answer; you need only choose one.
Classification
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 3/30
about:blank
mailto:https://www.stuvia.com/user/DREAMS 3/30
