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Required Text
Business Statistics, In Practice Bruce L. Bowerman, Richard T.
O'Connell, Emily S. Murphree, McGraw-Hill Irwin, 6th Edition, 2009,
ISBN-0-07-340183-8.
Course Description
A course dealing with statistical concepts including measures of central
tendency and dispersion, probability distributions, the Central Limit
Theorem, sampling, estimation, hypothesis testing, analysis of variance,
correlation and regression analysis, multiple regression and statistical
forecasting.
Course Objectives
The objective of this course is to provide an understanding for the
graduate business student on statistical concepts to include
measurements of location and dispersion, probability, probability
distributions, sampling, estimation, hypothesis testing, regression, and
correlation analysis, multiple regression and economic forecasting. By
completing this course the student will :
1) know the definition of the variance and the standard deviation.
2) be able to use the binomial distribution tables to solve a problem.
3) be able to use the normal distribution table to solve a problem.
4) will know the central limit theorem.
5) be able to test a hypothesis as well as a calculate confidence
interval for a population parameter.
6) will be able to test a statistical hypothesis using Z and p-value.
7) know how to test difference between two sample means.
8) know how to compute and interpret the results of a one-way ANOVA.
9) know how to compute and interpret the results of a Chi-Square test
for independence as well as a test for homogeneity.
10) know how to calculate and interpret the results of regression and
correlation analysis.
11) be able to determine from an Excel print out, the analytical factors
for a multiple regression problem analysis.
12) understand how to forecast for time series using stationary methods,
trend methods and seasonal methods.
Grading Policy
Evaluation of student performance will be based primarily upon two
equally weighted tests (45% each). The remaining 10% will be awarded for
the assigned problems.
Grades for the course will be determined by achieving the following
average ranges:
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Average Range
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Grade
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90-100
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A
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80-89
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B
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70-79
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C
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60-69
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D
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Below 60
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F
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Attendance
Policy
Attendance is
mandatory. Anticipated absences for work related reasons should be
explained to instructor in advance. Students are expected to be on-time
for class. Class room door may be locked after class commences.
Classroom Demeanor
"All students enrolled at the University
shall follow the tenets of common decency and acceptable behavior
conducive to a positive learning environment." See Student's Guide Book.
Special Accommodations
Students requesting accommodations for disabilities must go through the
academic support committee. For more information ,
please contact the Director of Disability Resources and Services ,
G-Library., Room 132, 903-886-5835.
Statement of Ethical and Professional Conduct:
The College of
Business and Technology at Texas A&M University-Commerce faculty, staff
and students will follow the highest level of ethical and professional
behavior.
We will strive to be recognized as a community with legal, ethical
and moral principles and to teach and practice professionalism in all that
we do.
In an academic environment we will endeavor to not
only teach these values but also to live them in our daily lives and work.
Faculty and staff will be held to the same standards and
expectations as our students.
Failure to abide by these principles will result in
sanctions up to and including dismissal.
Actionable Conduct:
There are five different types of actions that
will bring sanction.
They are:
- Illegal activity:
Violation of any local, state or federal laws that prohibit the
offender from performance of his or her duty.
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Dishonest Conduct: Seeking or
obtaining unfair advantage by stealing or receiving copies of tests or
intentionally preventing others from completing their work.
In addition falsifying of records to enter or complete a
program will also be considered dishonest conduct.
- Cheating:
The unauthorized use of
another’s work and reporting it as your own.
- Plagiarism: Using someone
else’s ideas and not giving proper credit.
- Collusion:
Acting with others to perpetrate any of the above actions
regardless of personal gain.
Sanctions:
In the case of staff or faculty the immediate
supervisor will be the arbiter of actionable behavior and will use Texas
A&M University-Commerce and/or Texas A&M University System Policy and
Procedures as appropriate to guide sanctions.
Faculty, guided by clearly delineated policy in the
course syllabus, will be the arbiter for in-class violations.
All violations will be reported to the Dean of the College of
Business and Technology to assure equity and to provide appropriate
counsel. In addition, the Dean
will maintain records of violations by students.
Second violations will be reviewed by the Dean and sanctions beyond
those of the faculty up to and including suspension and permanent
expulsion from Texas A&M University-Commerce will be considered. Faculty
and students are guided by the current undergraduate and graduate catalogs
of the University as well as The Student’s Guidebook.
Faculty, staff and students will always be afforded due process and
review as appropriate.
Students with Disabilities:
The Americans with Disabilities Act
(ADA) is a federal anti-discrimination statute that provides
comprehensive civil rights protection for persons with disabilities.
Among other things, this legislation requires that all students
with disabilities be guaranteed a learning environment that provides for
reasonable accommodation
Class Schedule
The schedule will depend on class
progress; chapter assignments and tests may be altered as the class
progresses. Students should read chapters, do as many of the homework
problems as possible and be familiar with the chapter summaries and the
end of chapter sef-examinations.
Schedule of Assignments
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The schedule will depend on class progress; chapter assignments and
tests may be altered as the class progresses. Students should read
chapters and do as many of the designated homework problems as possible
and be familiar with the chapter summaries and key terms.
NOTE THE FOLLOWING:
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The assignments listed are tentative for the semester. It is meant to
be a guide. Certain topics may be stressed more or less than indicated
in the text and, depending on class progress, certain topics may be
omitted.
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Homework: Homework problems will be assigned, but will not be
collected or graded. Selected problems will be solved in class during
lectures. Solution to homework problem can be found at
this link. Several problems from
the homework may be assigned to be solved using the computer.
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You will be informed, at least one week before each of the four exams.
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Missed examination: A missed examination may be made-up during the
week of final exams. This make-up exam will be comprehensive.
UNIT 1
(Chapters 1- 8)
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Text Assignment
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Designated Homework
Problems
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Date
(Week of )
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Chapter Goals
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Chapter 1
Introduction to Business Statistics
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1.1,2,3,4,5,15,16,17
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June 7
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1. Define inferential and
descriptive statistics.
2. Differentiate between a
quantitative and a qualitative variable.
3.Differentiate between a discrete
and a continuous variable.
4.
Know the four levels of measurement – nominal, ordinal,
interval, and ratio.
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Chapter 2
Descriptive
Statistics: Tabular and Graphical Methods
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2.17,34
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June 7
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1.Construct
a frequency distribution.
2.Determine
the class midpoints, relative frequencies, and cumulative
frequencies of a frequency distribution.
3.Construct
a histogram, a frequency polygon, an ogive, and a pie chart.
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Chapter 3
Descriptive Statistics: Numerical
Methods
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3.2,3, 8, 16, 17,18,19, 20, 21, 22, 23,24, 27, 28, 30,31
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June 7
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1. Define the mean, mode, and
median.
2. Explain the characteristics of
the mean,
mode, and median.
3. Calculate the mean, mode and
median for both grouped and ungrouped data.
4. Define the range, mean
deviation, variance, and the standard deviation.
5. Explain the characteristics of
the range, mean deviation, variance, and the standard deviation.
6. Calculate the range, mean
deviation, variance, and the standard deviation for grouped and
ungrouped data.
7. Define Skewness and Kurtosis.
8. Define and calculate the
coefficient of variation.
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Chapter 4
Probability
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4.2, 3, 8,9, 11,13,19, 20,21, 27,29, 43,49
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June 7
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1.Define probability.
2. Define marginal, conditional,
and joint probabilities.
3. Use the special and general
rules of multiplication and addition in probability computation.
4. Calculate marginal, conditional,
and joint probabilities.
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Chapter 5
Discrete Random Variables
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5.1, 3,13, 23, 24,
27, 28, 32,34,35,45, 47, 48
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June 14
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1. Define probability distribution
and random variable.
2. Calculate the mean, variance,
and standard deviation of a discrete distribution.
3. Describe the characteristics and
compute probabilities using the binomial probability
distribution – use of tables.
4. Calculate the mean variance and
standard deviation of a binomial distribution.
5. Describe the characteristics and
compute probabilities using the Poisson distribution – use of
tables.
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Chapter 6
Continuous Random Variables
Hand in assigned problem in class on June 15
hand in manual Excel and Mega Stat Solutions.
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6.16,18,19, 23, 24, 26, 28, 29, 31, 33, 34,37, 40, 67, 71
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June 14
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1. Describe the characteristics of
and compute probabilities involving the normal distribution –
use of tables.
2. Use the normal distribution as
an approximation of the binomial distribution.
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Chapter 7
Sampling Distributions
(Section 1.5)
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7.9,10, 11, 12, 14, 16,18, 19,21,22,23,24, 25, 28, 29, 34
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June 14
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1. Describe various sampling
techniques.
2. Explain the Central Limit
Theorem.
3. Explain sampling error.
4. Describe the sampling
distribution of means.
5. Define the standard error of the
mean.
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Chapter
8
Confidence Intervals
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8.5, 10, 11, 12, 14, 15, 16, 17, 19, 20, 22, 29, 30, 39, 40, 41
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June 14
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1. Calculate confidence intervals
for sample means and sample proportions.
2. Describe the characteristics of
Student’s t distribution.
3. Use the Student’s t probability
table to calculate confidence interval
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Midterm exam
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June 22
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Subject to class progress
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UNIT 2
(Chapters 9 -14)
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Text Assignment
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Homework
Problems
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Date
(Week of )
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Chapter Goals
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Chapter 9
Hypothesis Testing
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9.3, 4, 5, 6, 16, 17, 18, 19, 20,
30, 43, 44, 51, 53, 56, 73, 75
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June 21
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1.Identify Type I and Type II
errors.
2.
Conduct a test of hypothesis about a population mean and a
population proportion.
3.
Conduct the test of hypothesis using one and two tail tests.
4. Conduct the test of hypothesis
regarding one population mean with a small sample.
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Chapter
10
Statistical Inferences Based on Two
Samples
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10.6,7,8,16,20,21,22,38,39,41,50,51
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June 21
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1. Conduct a test of hypothesis
about the difference between two population means involving
large and small sample sizes and two population proportions.
2. Conduct the test of hypothesis
regarding the difference in means of two independent samples.
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Chapter 11
Experimental Design and Analysis of Variance
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11.34
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June 21
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1. Understand
the differences between various experiment designs and when to
use them.
2. Compute
and interpret the results of a one-way ANOVA.
3. Compute
and interpret the results of a random block design.
4.
Compute and interpret the results of a two-way ANOVA.
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Chapter
12
Ch-square Tests
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12.6,7,9,17,19,20,24,25
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June 28
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1.
Understand and interpret interaction.
2. Understand
the chi-square goodness-of-fit test and how to use it.
3.
Analyze data by using the chi-square test of independence.
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Chapter 13
Simple Linear Regression Analysis
(sections 2.6 and 3.4)
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13.8,12,15,20,21,22,36,37,38,39,40
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June 28
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1. Describe the relationship
between an independent variable and a dependent variable.
2.
Calculate and interpret the coefficient of correlation, the
coefficient of determination and the standard error of the
estimate.
3.
Calculate the least squares regression line and interpret the
slope and intercept values.
4. Test the slope of the line for
statistical significance.
5. Construct and interpret a
confidence interval and prediction interval for the mean and an
individual value of the dependent variable.
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Chapter 14
Multiple
Regression
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14.4,5,9,10,11,19,20
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June 28
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1. Describe the relationship between two or more independent
variables and the dependent variable using a multiple regression
equation.
2. Compute and interpret the
multiple standard error of the estimate and the coefficient of
determination.
3. Conduct a test of hypothesis to
determine if any of the set of regression coefficients differs
from zero.
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Chapter 15
Model Building and Model Diagnostics
Hand in assigned problem 7 and 8 on July 5.
Solve #7 manually by Excel and by Megastat. Solve #8 by Excel
and Megastat only.
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15.3,6,7,8,25,33
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July 5
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1. Develop models to
represent non-linear relationships
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Final Exam
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Thursday
July 8
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