QM 236 Quantitative Methods II
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Instructor: |
Dr.
Helen M. Moshkovich |
Course
description
An introduction to basic
concepts of inferential statistics, including descriptive analysis of data,
statistical interval estimation, hypotheses testing, linear regression and
correlation, goodness-of-fit test, and contingency table analysis. Examples from
different areas of business are discussed.
Course
objectives
Student
will use bar graphs, histograms, pie charts, and other types of tables and
graphs to describe statistical data. Students will be able to analyze data on
the basis of descriptive statistics and probability concepts. Students will
learn to use various techniques to test statistical hypotheses, including but
not limited to the z-tests, t-tests, chi-square tests, and linear regression.
Lab component: The student will use special computer software to apply
statistical methods for solution of practical problems.
Required Text and materials:
- Essentials of Modern Business Statistics with Microsoft Excel by David R. Anderson, Dennis J. Sweeney and Thomas A. Williams; ©2004 by South-Western Publishing Co.
- graphic calculator or
calculator with statistical functions.
Course requirements:
1. Homework will be assigned at least two times per week. Answers on homework and on tests are to be written in complete English sentences in good grammatical form. Homework turned in late will not count toward your grade.
2. A laboratory computer assignment will be assigned at least three times in the course. Lab assignments turned in late will be penalized 10 points per calendar day they are late.
Evaluation:
|
3
tests (lowest grade is dropped) |
40% |
Letter grade
and course work credit:
A(100-90), B(80-89.9), C(70-79.9), D(60-69.9),
F(below 60)
ALL necessary materials (syllabus, lecture notes, assignments, and announcements) for the course will be placed on the course BLACKBOARD site. Urgent information will be distributed through UMAIL accounts.
Tests
Tests will deal with the concepts discussed in class and developed in the
assigned readings. Makeup tests are not given. If you are going to miss a test,
you must contact the instructor prior to the test time for any special
consideration. At the instructor’s discretion, test content and test results
credit percentages following a student’s absence may be adjusted to compensate
for an absence from a regularly scheduled examination.
Attendance
You are expected to attend class. Failure to do so
will result in your missing material explanation, homework assignments, and the
possibility of extra credit assignments.
Policy on Accommodation for Individuals with
Disabilities
” The University of Montevallo provides equal opportunity to qualified
students. If you have a disability (medical, physical, learning, psychological,
etc.) and wish to request disability-related accommodations to complete course
requirements, contact Disability Support Services (located in Main Hall, rear
entrance; 665-6250). Course requirements cannot be waived, but reasonable
accommodations may be provided based on disability documentation and course
objectives. Accommodations cannot be made retroactively.”
Schedule
The instruction schedule reflects expected class progress in course subject
matter and is considered tentative.
The
schedule is subject to change in content and scope at the instructor’s
discretion, if necessary. Changes will be announced in class. If you miss class,
you are still responsible for these changes.
ANY STUDENTS EFFORTS APPLICABLE TO COURSE CREDIT ARE REQUIRED TO COMPLY WITH UNIVERSITY OF MONTEVALLO POLICY STANDARDS FOR ACADEMIC HONESTY AND INTEGRITY
ALL necessary materials (syllabus, lecture notes, assignments, announcements) for the course will be placed on the course BLACKBOARD site. Urgent information will be distributed through UMAIL accounts.
Course schedule outline:
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Week 1 |
Administrative Details |
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Week 2 |
Descriptive Statistics - review |
Chapter 3 |
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Week 3 |
Quiz (chapters 1-3) |
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Week 4 |
Normal Variables (continue) |
Chapter 6.2 |
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Week 5 |
Test 1 (chapters 5, 6, 7) |
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Week 6 |
Interval Estimation (continue) |
Chapter 8.4 |
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Week 7 |
Hypotheses testing (continue) |
Chapter: 9.4-9.6 |
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Week 8 |
Comparisons involving means |
Chapter 10.1-10.4 |
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Week 9 |
Review |
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Week 10 |
Association between two variables |
Chapter 3.5 |
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Week 11 |
Linear Regression (continue) |
Chapter: 12.4-12.6 |
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Week 12 |
Multiple Regression Analysis |
Chapter 13.1-13.6 |
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Week 13 |
Contingency Tables |
Chapter: 11.3 |
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Week 14 |
Review |
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Week 15 |
Final exam overview |
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