is known and when is unknown.Course Syllabus for Math 247/124: Business Statistics, Fall 2003
Mathematics Department Arts and Sciences Division -
I took the
road less traveled by, and that has made all the difference. Robert Frost
Office: ST 118
Phone: 545-3360 EXT 3360 or
800-642-0859
Appointments for extra help with math may be
made by contacting the instructor.
Text: Elementary and Intermediate Algebra (A Combined Approach), 3rd Edition, by
Jerome Kaufmann, Brooks/Cole Publishing Company, and Copyright 2002
Course Description for Math
102 Credit Hours: 3.0 & 1.0
The basic concepts of statistical analysis used in
business decision making, including probability and how uncertainty is dealt
with in real life. The student will analyze and work out simple problems and
should be able to recognize instances in which statistical techniques have been
misused. The following concepts and statistical techniques are included:
measures of central tendency and variability; random variables and probability
distributions; binomial, normal and sampling distributions; estimation; tests
of hypothesis; chi-square tests; linear regressions and correlation; and
one-way analysis of variance.
Materials Required:
Textbook, loose-leaf paper, pencils
Suggested: Scientific calculator,
notebook/folder
Grading Policy:
Grades will be based on participation, homework, quizzes, tests, a project, and a comprehensive final exam
Participation = approximately 5-10
points per chapter (about 5% final grade)
Homework = approximately 10-20
points per chapter (about 12% final grade)
Quizzes = approximately 30 points per chapter (about
25% final grade)
Project = approximately 100 points (about 8% final
grade)
Tests = approximately 100 points per
chapter (about 33% final grade)
Final Exam = Final Exam will cover chapters 10-13
(about 17% of final grade)
Grading Scale
A = 90%- 100%
B = 80% - 89%
C = 70% - 79%
D = 60% - 69%
F = Below 60%
Attendance:
Attendance is expected and is beneficial for successful completion of this course. Students are expected to attend ALL scheduled class periods. If more than two weeks of classes are missed without a valid excuse, a student may be withdrawn from the class with an F. Students will not be allowed to make up homework, quizzes, or tests. For emergency situations, approval MAY be given for a missed class. The lowest test score may be dropped. Arrive on time and sign the attendance sheet for each class to receive full credit for course work that day.
Tardiness:
It is disrespectful to others to interrupt a scheduled class. Arriving late for class will affect your grade. Participation scores will be lowered, homework may not be accepted, and extra time will not be given to complete quizzes or tests.
Make-Up Policy:
As stated earlier, for emergency situations,
approval MAY be given for a missed class. If possible, students must meet with
the instructor before missing a class to discuss the extreme circumstance. If
this is not possible, students must meet with the instructor prior to the next
class meeting.
Chapters to Be Covered:
Chapter 1:
Introduction and Data Collection
Chapter
2: Presenting Data in Tables and Charts
Chapter
3: Numerical Descriptive Measures
Chapter
4: Basic Probability
Chapter
5: Probability Distributions
Chapter
6: Sampling Distributions and Confidence
Interval Estimation
Chapter
7: Fundamentals of Hypothesis Testing:
One-sample Tests
Chapter
8: Hypothesis Tests for Numerical Data
From Two or More Samples
Chapter
9: Hypothesis Tests for Categorical Data
From Two or More Samples
Chapter
10: Simple Linear Regression
Chapter
11: Multiple Regression
Chapter
12: Time-Series Forecasting
Chapter
13: Statistical Applications in Quality and Productivity Management
Math 247/124 Business
Statistics Outcomes:
After successful completion of Math 247 a student should be able to perform the following at a 70% success rate. (C or better)
1.
Differentiate
between descriptive and inferential statistics.
2.
Create and
use statistical graphs and charts.
3.
Calculate
statistical measures of central tendency. (mean, median, mode)
4.
Calculate
measures of variation. (i.e. standard deviation)
5.
Calculate
linear regressions based on given data.
6.
Use counting
principals.
7.
Calculate
basic probabilities using definition.
8.
Calculate
probabilities using probability distributions, including Binomial and Normal
Distributions.
9.
Calculate
Confidence Intervals for the estimated mean when is known and when is unknown.
10. Perform Hypothesis testing.
11. Perform the Chi-square
12. Perform the one way ANOVA test.
Student Support Services:
College
Enhancement Center 545-3078
Campus Library 545-3130
Student Computer Lab 545-3098
Counseling Center 545-3066
Important Dates:
August
22 Last day to drop a
class and receive full refund
August 29 Last day to drop a class and receive one-half
refund
November 25 Last day to withdraw with a W
A note of encouragement:
I look forward to working with you during this course.
As with any math course, a dedication is needed toward both the completion of
assignments and preparation for quizzes and exams. All odd-numbered problems
have the answers in the back of the textbook. This is designed to give you a
guide to understanding the concepts presented in each section. We will work
several examples together during class; in addition, the text provides sample
problems for you to study.
You need to know that this course will not be easy. If
you have difficulty understanding a concept, please do not hesitate to ask
questions during class; your questions will help the other students! You may
also stop by my office, and I will be happy to answer your questions. There are
videos and websites to assist your learning. Be sure to take advantage of the
CEC lab where math tutoring is available. Please make an appointment in
advance. Evening hours by appointment will be offered in addition to the
regular hours Monday through Friday, 8-4.
It is my goal that you will have a good experience with
mathematics and leave this class with the confidence to pursue future
mathematics courses. We are a team working together to bring you success.
There are no shortcuts! Rafe Esquith