MISY 262
Professor Kourpas (Sections 10, 11, 12, 13)
Exam 3 Instructions & Study Guide
Instructions
Exam Date: Wednesday May 13, 2020 (no make-ups)
Format: Online on Canvas, same format as Exam 1 and Exam 2 (i.e., s
...
MISY 262
Professor Kourpas (Sections 10, 11, 12, 13)
Exam 3 Instructions & Study Guide
Instructions
Exam Date: Wednesday May 13, 2020 (no make-ups)
Format: Online on Canvas, same format as Exam 1 and Exam 2 (i.e., some problems
you have to use R to run models, some problems will ask you to interpret R output,
some multiple choice questions)
Availability: From 8am EST until 11:59pm EST on Wednesday May 13 (Exam has to
have started by 10pm EST at the latest in order to be completed on time. If you start
late, Canvas will lock you out at 11:59pm without completing the exam)
Time Limit: 90 minutes (DSS Students will have adjusted time). You can’t start, stop,
and continue! Time starts from the time you first access the exam!
Access to Material: You can have access to your computers, including lecture slides,
lecture videos, R software, and scripts you have built as part of this class (absolutely no
email/chat, or any material and notes that have not been part of my course). In some
parts, you will be required to run models on R, transfer your results on Canvas, and
answer questions. In other parts, you will be required to interpret R output and make
decisions. All answers will be submitted on Canvas. Some questions will be essay
format, some will be multiple choice. You can’t have email, video chat/meetings, or
any communication programs open. Canvas will record what application
programs are open at the same time.
Exams should be completed individually! Any indications of cheating will be
reported and result in enforcing the appropriate University disciplinary action.
Study Guide & Hints
The following study guide was designed as a summary to help you study and prepare
for Exam 3. It is not supposed to be an exhaustive list of questions or topics. Exam 3
will cover Module 4: Linear and Logistic Regression Prediction (Lecture 14 and
15). Note: Monday May 11, Lecture 16 on Overfitting & Variable Selection will NOT be
included in Exam 3 (it will be tested as part of cumulative final on May 22).
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