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Financial Modeling Exam Wallstreet Prep FINAL EXAMINATION
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Financial Modeling Exam Wallstreet Prep FINAL EXAMINATION This will assist students particularly in Statistical Modelling.
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12/3/23, 7:06 AM Exam 15 November 2011, questionsUppsala University QM II
Department of statistics 2014-06-03
Teachers: Fredrik Johansson and Fan Yang Wallentin
FINAL EXAMINATION
Quantitative methods II (7.5hp) 2014-06-03
INFORMATION:
A. Allowed means of assistance:
Handouts from lectures (no handwritten notes are allowed), calculator, ruler, dictionary.
B. Writing time: 8.00-12.00 (4 hours).
C. The examination consists of 20 multiple choice questions, for a total of 20 points. At least
10 points are needed to pass the exam (16 to pass with distinction, VG).
D. If you desire clarification regarding the test, especially the wording of a problem, then
please contact an examination proctor. The examination proctors can contact the
responsible teacher.
E. After turning in your test, you will keep the test pages with the question statements (not to
be handed in!). Correct answers will be posted at Studentportalen.
INSTRUCTIONS:
A. Only one answer is to be chosen for each question.
B. Mark your answers on the answer sheet.
Good luck!
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, 12/3/23, 7:06 AM Exam 15 November 2011, questions
Uppsala University Department of statistics
Question 1
Why is it important to examine data graphically?
A) To get a better understanding of the data
B) To get a complement to empirical measures
C) To provide a visual representation of the basic relationships in order to feel confident
in the understanding of these relationships
D) All of the above
E) It’s not important.
Question 2
Why is it important to determine the type of missing data?
A) To establish if the missing data are ignorable or if any remedies should be applied
B) If the missing data are ignorable you don’t have to do anything about it
C) If the missing data are non-ignorable and occur in a random pattern you might be able
to ease the effect of the missing data by applying some remedies
D) You need to know the type of missing data in order to choose the appropriate remedy
to apply (if any).
E) All of the above
Question 3
What should you do if you find outliers in your data?
A) Nothing
B) Delete them
C) Keep them
D) Investigate them further to establish if they should be deleted or kept
E) All of the above
2
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