Instructors: Stephen J. Silver, Ph.D.,
358 Bond Hall, Telephone (843) 953-5163 (office) or (843) 766-9943 (home) Web
Page:
http://faculty.citadel.edu/silver/ and
Carl. E. Betterton, Ph.D., P.E., 273A
Tuesday and Thursday:
The quickest way to get in touch with us is by email at:
Dr. Silver - Steve.Silver@Citadel.edu
Dr. Betterton - Carl.Betterton@Citadel.edu
COURSE OBJECTIVES:
2. Develop
skills in statistical analysis and interpretation of business data.
3. Develop
insight into the selection and application of statistical tests and methods
appropriate to a broad scope of business issues.
4. Integrate
personal computers and statistical programs into the solution of problems and
statistical tests.
GRADING
|
|
% of Final Grade |
|
Tests I -
IV (20 each) |
80 |
|
Project 1 |
5 |
|
Project 2 |
5 |
|
Project 3 |
5 |
|
Participation |
5 |
|
Total |
100 |
In addition to the four tests, there will be three short projects. We will
provide examples and advice on the projects. Homework problems will not
be graded as they are intended to hone your skills so that you will do well on
the tests. We will also make available several (ungraded)
practice quizzes. The homework and projects will be completed by the students
using MS Excel.
|
Grading Scale |
|
|
A |
90
-100 |
|
B |
80
- 89.99 |
|
C |
70
- 79.99 |
|
D |
60
- 69.99 |
|
F |
Below
60 |
|
|
|
Students who
are discovered cheating or committing plagiarism will be awarded a failing
grade for the course, and may be subject to dismissal or further discipline.
COURSE PARTICIPATION
Participation
counts as a factor in determining your overall grade in the course. We expect
each student to contribute significantly to online analysis and discussion of
chapter readings or other assignments. This will be done primarily via
Blackboard discussion boards. Your grade on course participation is something
to be earned by contributing your assessments and judgments to the discussion.
Merely logging on to Blackboard and reading the discussion of others is not
sufficient; active engagement is required. One important way in which you can
both earn your participation score as well as help others, is to help
explain a concept or homework problem about which another student has a
question. Another way is to cite examples of statistics seen in the popular
media or current business publications.
COMPLETION OF ASSIGNMENTS
Students have
considerable latitude as to when specific individual topics are completed; this
is one of the benefits of an online course. However, to maintain the overall
schedule, Tests and Projects must be completed no later than the milestone due
dates indicated. Generally, no late assignments will be accepted unless prior
arrangement has been agreed upon.
CLASS SCHEDULE
The schedule
gives an outline of material to be covered for each topic. Each chapter and
related homework problems should be completed in advance for discussion during
online meetings. Various media files such as streaming audio or video,
PowerPoint slides, Excel examples, and other materials will be on the class web
site for your ready access. You will also be using the Statistics Template,
developed by Professor Silver, later in the course to help conduct hypotheses
tests. Each student will need to have a
Citadel email account and check his or her electronic mail regularly. We expect
to send regular messages to the class; i.e., provide review tips, any changes
in the schedule, and other special notes. Supplementary material may be made
available.
|
Topic Number |
Description |
Homework |
|
1 |
Introduction: What is and what are statistics? Why do we need statistics? Statistical measures of locations and
dispersion. Examples of statistical
problems. [MBS chaps. 1 and 2] |
Ch 2: 4, 8, 16, 20 |
|
2 |
The algebra of statistics. Alternative formula for the variance. Relative location; Empirical Rule and Chebyshev’s Law. [MBS chap. 2] |
Ch 2: 27, 29, 30, 52, 57, 64, 71; Project I |
|
3 |
Test I |
|
|
4 |
Probability I.
Meaning of probability, odds, calculating probabilities of outcomes
and events. Venn Diagrams,
intersection, union, and complementary events. Addition rule, conditional
probability and the chain rule. [MBS
chap. 3] |
Ch. 3: 3, 5, 13, 19, 31, 48, 64, 86 |
|
5 |
Probability II. |
|
|
6 |
Discrete probability distributions (PDs), calculation of mean and standard deviation. Alternative formula of the variance of a PD
[MBS chap. 4.1, 4.2] |
Ch. 4: 12, 13, 14 |
|
7 |
Test II |
|
|
8 |
The Bernoulli Distribution and the binomial
distribution for small sample sizes.
Binomial distribution for larger n, using the binomial tables. Normal approximation of the binomial
distribution and the Poisson distribution approximation. [MBS chap. 4.3, 4.4,
4.9] |
Ch. 4: 29, 41, 48, 89 |
|
9 |
The continuous probability density function (pdf). The continuous uniform distribution and the normal
distribution. [MBS chap. 4.5, 4.7] The Central Limit Theorem and examples.
Constructing confidence intervals for the population mean and proportion for
large and small samples. [MBS chap.
5.1, 5.3] |
Ch. 4: 55, 58, 62, 69, 114; Ch 5: 4, 10, 19, 33; Project II |
|
10 |
The
hypothesis test for population mean and proportion, one population. [MBS chap. 6.1-6.5] Click Here for the Statistics
Template |
Ch 6: 24, 27, 50, 62, 82, 89 |
|
11 |
Test III |
|
|
12
|
Test of differences of means and proportions, two populations. Test of difference of population means,
multiple populations. The Analysis of
Variance Test (ANOVA) [MBS chap. 7.1,
2, 4, 7] |
Ch. 7: 9, 14, 20, 101, 110; Ch. |
|
13 |
Test of independence; the Chi-square test. Simple ordinary least squares regression,
the correlation coefficient and tests.
[[MBS chap. 8.1, 4; chap. 9.1-9.9] |
Ch 8: 8, 11, 40, 45, 55, 64, ; Ch 9: 10, 19, 34, 61 |
|
14 |
The multiple regression model. Interpreting the coefficients and
conducting hypothesis test of the overall model usefulness and of the
individual coefficients. [MBS chap. 10] |
Ch.10: 43 Project III. [Ch. 10 Condo Sale Case, page 634] Condo Case |
|
15 |
Test IV |
|
|
Statistical Tables: |
|