(Jan 31, 2002)
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Rutgers Business
School
Dept of
Management Science & Information Systems
Business Research Methods (Course #
29:623:340)
In
course-related email, please begin Subject
line with course initials "BRM"
|
Check below for Homework #2 !
|
Day class Tu-Fr
1-2:20 (Ackerson
123)
Evening Section 40, Tu 6-9:00 (Hill
101)
|
|
Course Professor:
Lee Papayanopoulos
(Email: papayano@andromeda.rutgers.edu)
|
Recitation Instructor:
Francis
A. Mendez
(Email:
francism@pegasus.rutgers.edu)
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Course
description: The focus of this course is on translating a
business problem into a research project: Formulate
hypotheses, identify and locate data sources,
consider ways to gather primary and secondary data,
perform analysis using major business and statistical
computer packages, and effectively interprete and
present findings.
|
Texts:
1.
Statistics: Concepts & Controvesies, David
S. Moore, (Published by Freeman)
5th Ed.
(2. Complete
Concepts & Techniques: MS Excel 2000 for Windows,
Shelly, Cashman, ITP
Do not purchase the second text until after our first meeting)
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Homework Assignments
Color coding for
the following assignments: BLUE
reading assignment; GREEN assignment to be
typed and handed in (shown in boldface);
RED due date; ORANGE assigned,
not to be handed in but candidate for the test (shown in italics)
|
Assignments & notices
will
be posted on a regular basis
|
In the
upper
right-hand corner of the first page, write:
Your
name
Assignment # (in left column of following table)
Section #
Due date
Problems that you actually
completed (See =>)
|
Example:
Edison, Tom
Assignment 24
Section
7
Mar 13, 2002
30-32, 35, 39, 64 |
Tutoring
|
HOMEWORKS
must be typed & submitted when due. Late, untyped or
emailed work will be given steeply discounted credit. You
are entitled to miss 2 homeworks during the entire term
without penalty. Please, fasten all sheets together
securely. |
|
Assignment 2:
Due Feb 5
|
2.1 Read Chapters
3 & 4 of the Statistics text;
2.2 Exercises
3.1,
3.2, 3.3, 3.4,
3.5,
3.10, 3.13, 3.20,
3.22, 3.25, 4.2,
4.3, 4.9,
4.15, 4.17, 4.18.
2.3 Use Microsoft Excel to:
(to be assigned shortly... Check here later) |
|
Assignment 1:
Due Jan 29
|
To
download notes pertaining to the last (recitation) session, please click
here and, then, select any item listed on the next screen by
double clicking it
1.1 Read Chapters 1 & 2
of the Statistics text;
1.2 Exercises
1.2, 1.9, 1.12, 2.1,
2.3, 2.8, 2.10,
2.16.
1.3 Read
Probability Primer (handout);
Do the following exercises
carefully.
1.4 Let
X be the outcome of a random flip of a fair coin. Evaluate the
following,
Pr(X is tails); Pr(X is not tails); Pr((X is tails) or (X is heads))
1.5 Let
X be the outcome of a random roll of a fair die. Evaluate the
following,
Pr(X =1); Pr(X < 1); Pr((X = 1) or (X = 2)); Pr(X <
2); Pr(X > 2); Pr(2 < X < 5) |
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|
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Lecture Sessions
(The sequence & extent of the following
material is subject
to revision)
| Week |
Date |
Topic |
Comments/Readings |
| 1 |
Jan 22 |
Introduction & Overview
of the course; probability basics |
Chapters 1 & 2, Handouts |
| 2 |
|
Sampling |
Ch. 3 & 4 |
| 3 |
|
Sampling (cont'd); Introduction to
Experiments |
Ch. 4 (completed) & Ch 5 |
| 4 |
|
Experiments in the Real World |
Ch. 6 & 7 |
| 5 |
|
Measuring, accuracy, pitfalls, validity |
Ch. 8 & 9 |
| 6 |
|
|
Ch. 1-9, Section Review
(pp 160-169) |
| 7 |
|
Graphs, Distributions, & stemplots,
measures of center, boxplots |
Ch. 10, 11, & 12 (to p. 226) |
| 8 |
|
Measures of dispersion, density curves,
normality |
Ch. 12 &13 |
| 9 |
|
Association, Correlation |
Ch. 14 |
| 10 |
|
|
Ch. 10-14 |
| 11 |
|
Causation; Regression & prediction |
Ch. 15 |
| 12 |
|
the Consumer Price Index; |
Ch. 16 |
| 13 |
|
Probability; Simulation; Expectation |
Notes |
| 14 |
|
|
|
| |
|
Reading Period |
| |
|
Final Exam (Sect 1
& 2) |
Ch. 1-19 & notes, Weighted/Cumulative
|
| |
|
Final Exam
(Section 40) |
directory (get
files
The LRC is
entirely independent of the Rutgers Business School. The
following is provided for your information without any
recommendation, at this time.
"The Learning Resource Center provides tutoring for Statistics
for students who might need help to maximize their potential for
success in the course." The schedule for tutoring for
statistics is as follows:
| Monday |
|
11:30
-- 12:50 PM |
|
&
5:30 PM -- 7:00 PM |
| Tuesday |
|
11:30
-- 2:20 PM |
|
&
4:00 PM -- 5:20 PM |
| Wednesday |
|
11:30
-- 12:50 PM |
|
&
4:00 PM -- 5:20 PM |
| Thursday |
|
2:30
-- 3:50 PM |
|
|
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BRM ø,¸¸,ø¤º°`°º¤ø,¸¸,ø¤º°`°º
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