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Final

OMIS 2010 Study Guide - Final Guide: Mean Absolute Difference, Block Design, Load Management


Department
Operations Management and Information System
Course Code
OMIS 2010
Professor
Alexander
Study Guide
Final

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SCHULICH SCHOOL OF BUSINESS
YORK UNIVERSITY
SESSION: Practice Final Exam NAME:
COURSE NO: MGMT 10 5 0 I.D. # :
COURSE TITLE: Statistics for Management SECTION:
PROFESSORS:
NUMBER OF PAGES: 13 pages (NOT including cover)
LENGTH OF EXAMINATION: 150 minutes
EXAMINATION AIDS ALLOWED: Calculator; Formula and Tables Book
INSTRUCTIONS:
1. Please place your I.D. card on your desk.
2. You are not allowed to leave the examination room until one hour after the start of the
exam and you must sign the sign-in sheet before leaving.
3. Your examination paper must be handed in before you leave. When you are finished
please leave the exam room quietly.
4. Cheating on an examination will result in an “F” grade in the course concerned and
possible suspension from the University.
5. All notes, briefcases, and books must be deposited at the front of the room.
6. You are not allowed to use your own paper for rough work. You may only use the space
provided or the back of the pages for rough work.
7. Answer the Multiple Choice and True/False Questions on the Scantron Sheet supplied.
Be sure to put your name and student number on the bubble sheet. In Parts I and IV,
place your answers in the answer boxes, where supplied.
8. Count the pages to be certain that there are no pages missing.
9. Do not remove the staple or any pages from the exam.
10. Please show all your work.
11. If alpha is not given in the question use 0.05
12. Do not begin this examination until you are instructed to do so.
13. Do not write in the mark summary table below.
Part I – Problem Recognition 24 marks
Part II – True/False 8 marks
Part III – Multiple Choice Questions 10 marks
Part IV – Problems Question 1 8 marks
Question 2 22 marks
Question 3 20 marks
Question 4 8 marks
Sub-total 58 marks
TOTAL 100 marks

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MGMT1050 Practice Final Examination
PART I - PROBLEM RECOGNITION (24 MARKS, 2 MARKS EACH)
Instructions: For each of the scenarios below, write the null and alternative hypotheses and
indicate the most appropriate statistical test. You are not required to conduct the test, just
choose the most suitable test from the following options: z-test; t-test; χ2-test; F-test,
ANOVA.
Notes:
(1) Be specific in your answers: for example, specify the type of ANOVA required (one-way,
randomized block, or two-way), or whether you would use the t-test for equal variances or not.
(2) When writing hypotheses for two population tests, use meaningful indexing. For example, if the
question asks to compare Canada and the US, write µc-µu as opposed to µ1-µ2.
(3) Write all relevant hypotheses for each of the questions.
1. Do “captive stores” have better or worse pricing? In
order to test this question, a researcher selected 20
Sony products and collected the prices for these items
at three stores: the “Sony Style” store, “The Source”
and a local independent electronics retailer.
Hypotheses (H0 and HA):
HO: Blocking is not necessary
HA: Blocking is not necessary
HO: µ1=µ2=µ3
HA: At least one mean is different
Test:
Block design ANOVA
2. Clothes lines, where people hang their clothes outside
on lines to dry, are making a come-back as people
strive to reduce the amount of energy used. One
green consumer who had both types of clothes lines
(the pulley type and the collapsible clothes line tree
style) decided to see if there is a deference in drying
times by putting half of the laundry on each type of
clothes line for 15 weeks.
Hypotheses (H0 and HA):
HO: µD=0
HA: µD0
Test:
t-test of μD
3. An accounting student, trying to determine her optimal
career path, want to see how the incomes of
accountants varied based on which designation they
held (CA, CMA, CGA) and whether they worked in
industry or private practice.
Hypotheses (H0 and HA):
Interaction:
HO: There is not interaction
HA: There is interaction
Designations:
HO: µ1=µ2=µ3
HA: At least one mean is different
Type of Practice:
HO: µ1=µ2
HA: µ1µ2
Test:
Two Way ANOVA
4. How much has the recent decline in the stock market
affected investor’s retirement portfolios? A study three
years ago found that for families with the oldest
working spouse between 50 and 60 years old, the
average portfolio value was $325,000. A survey of
200 families in the same age group done last month
found the average to be $275,000 with a standard
deviation of $65,000.
Hypotheses (H0 and HA):
HO: µ≥325,000
HA: µ<325,000
Test:
t-test of μ
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MGMT1050 Practice Final Examination
5. A quality control inspector wants to see is a new
supplier is providing castings within the requirement of
the standard deviation of the width being less than
0.85mm. A sample of 60 castings found the variance
to be 0.6561mm2.
Hypotheses (H0 and HA):
HO: µ≥325,000
HA: µ<325,000
Test:
χ2 test of σ2
6. There has been controversy about the effectiveness of
the national Do Not Call (DNC) List. In fact, many
people are complaining that they are getting more calls
now that they have registered for the DNC List. A
researcher obtained clearance from 200 randomly
selected people on the DNC List to get access to their
telephone records to compare how many call they
received in September, prior to the implementation of
the DNC List, and January, after registration for the
DNC List.
Hypotheses (H0 and HA):
HO: µ1-µ2=0
HA: µ1-µ20
Test:
t-test of μ12
7. Does choice of business school affect the choice of
major or concentration? To test this, a researcher took
random samples of 100 graduating students from (1)
Schulich, (2) Ivey, and (3) Laurier and categorized
then by the following majors: (A) Accounting, (B)
Marketing, (C) Finance, (D) International, (E) OB/HR
and (F) Other.
Hypotheses (H0 and HA):
HO: Choice of B-School is
independent of major
HA: Choice of B-School is not
independent of major
Test:
χ2, test of a contingency table
8. Suppose that the study in question 7 only compared
Schulich and Ivey.
Hypotheses (H0 and HA):
HO: Choice of B-School is
independent of major
HA: Choice of B-School is not
independent of major
Test:
χ2, test of a contingency table
9. Suppose that the study in question 7 also looked at
the starting salaries offered to the graduating
students.
Hypotheses (H0 and HA):
Interaction:
HO: There is not interaction
HA: There is interaction
B-School:
HO: µ1=µ2=µ3
HA: At least one mean is different
Major:
HO: µ1=µ2=µ3=µ4=µ5=µ6
HA: At least one mean is different
Test:
Two Way ANOVA
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