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Hagerstown Community College
OFFICIAL COURSE SYLLABUS DOCUMENT
COURSE: MAT 119-M02 Introduction to Statistics With Computer Applications, 4 credits
TIME: T R 4:00 p.m. – 5:15 p.m.
T R 5:15 p.m. – 5:55 p.m.
LOCATION: LRC 108
LRC 122
INSTRUCTOR: Joseph C. Mason
SEMESTER/YEAR: Spring 2007
15 weeks
CONTACT INFORMATION: Home phone: (301) 223 – 1808
e-mail: [email protected]
COURSE DESCRIPTION: A study of modern statistical analysis enhanced with appropriate
technology is presented for use in business, education, social sciences, and natural sciences.
Computer software is employed to apply course topics to real world situations. Included in the
course are fundamental topics in descriptive statistics, probability, normal and binomial
distributions, confidence intervals, hypothesis testing, regression and correlation, chi-square
distributions, and ANOVA. Not open to students who successfully complete MAT 109.
Prerequisites: MAT 101, MAT 103, MAT 108, MAT 118, MAT 131,or MAT 161 or appropriate
score on placement test or consent of math department. Semesters offered: Fall, Spring,
Summer. 4 Credits
TEXTBOOK: Statistics Informed Decisions Using Data, Second Edition, Michael Sullivan III,
Pearson Prentice Hall, 2007, ISBN 0-13-187149-8
STUDENT LEARNING OUTCOMES:
Upon successful completion of this course, students will learn:
1. Skills needed for performing basic statistical and analytical procedures.
2. The usefulness of probability and statistics for decision making in everyday
life.
3. To critically and constructively identify the role and evaluate the usefulness of
data for decision making.
4. Statistical methods needed for further study in probability and statistics.
5. Skills needed to use the computer software MINITAB 14
COURSE CONTENT OBJECTIVES:
Upon successful completion of this course, students will be able to:
1. Organize and display data in a variety of ways.
2. Find and interpret descriptive statistics for given data.
3. Compute the line of best fit for a given set of data.
4. Compute the probability for a binomial experiment.
MAT 119 INTRODUCTION TO STATISTICS
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Compute the probability of an event using the normal distribution.
Estimate µ with a given level of confidence for a given sample.
Estimate p with a given level of confidence for a given sample.
Run a hypothesis test involving µ.
Run a hypothesis test involving p.
Make inferences about the differences of two means.
Make inferences about the differences of two proportions.
Run a chi-square test for independence.
Run a chi-square test for goodness of fit.
Run a One-Way ANOVA
Run a Multiple Regression Analysis
ASSESSMENT PROCEDURES:
Each student is expected to attend all MAT 109 lecture classes and take all in class exams
and the final exam. Each student will also be given a set of problems to work using
MINITAB 14 and turn in as graded assignments. Course grade will be calculated on
straight percentage with the following cut offs:
90% +
80% – 90%
70% – 80%
60% – 70%
below 60%
A
B
C
D
F
COURSE POLICIES:
Attendance: Students are expected to attend all classes. In the case of absence due to
emergency (illness, death in family, accident), conflict in work schedule, or participation in
official college functions, it is the student’s responsibility to confer with the instructor
about the absence and missed course work. It is the student’s responsibility to withdraw
officially from any class which he/she ceases to attend. Students are expected to take all
exams during scheduled time periods unless previous arrangements are made with the
instructor. (College’s attendance policy, page 60 in catalog)
Academic integrity: As in all courses you take at Hagerstown Community College, you
are always expected to turn in only your own work on each examination and graded
assignment. Cheating in any form will not be tolerated and any instances that are
uncovered will result in a "zero" grade being recorded for that work in the course.
(College’s honor code, page 59 in catalog)
Cell phones: All cell phones should be turned off during class time unless previous
arrangements are made with the instructor.
Course content: The instructor reserves the right to modify course content or exam
schedule as he deems necessary or beneficial to students throughout the course.
MAT 119 INTRODUCTION TO STATISTICS
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TOPICAL OUTLINE:
Introduction to course and expectations
Section 1.1 Introduction to the Practice of Statistics
Section 1.2 Observational Studies, Experiments, and Simple Random Sampling
Section 1.3 Other Effective Sampling Methods
Section 1.4 Sources of Error in Sampling
Section 1.5 The Design of Experiments
Section 2.1 Organizing Qualitative Data
Section 2.2 Organizing Quantitative Data: The Popular Displays
Section 2.3 Additional Displays of Quantitative Data
Section 2.4 Graphical Misrepresentations of Data
Test 1 Chapters 1 & 2
Section 3.1 Measures of Central Tendency
Section 3.2 Measures of Dispersion
Section 3.3 Measures of Central Tendency and Dispersion from Grouped Data
Section 3.4 Measures of Position
Section 3.5 The Five-Number Summary and Boxplots
Section 4.1 Scatter Diagrams and Correlation
Section 4.2 Least Squares Regression
Section 4.3 Diagnostics on the Least-Squares Regression Line
Section 5.1 Probability Rules
Section 5.2 The Addition Rule and Complements
Section 5.3 Independence and the Multiplication Rule
Section 5.4 Conditional Probability and the General Multiplication Rule
Section 5.5 Counting Techniques
Test 2 Chapters 3, 4, & 5
Section 6.1 Discrete Random Variables
Section 6.2 The Binomial Probability Distribution
Section 6.3 The Poisson Probability Distribution
Section 7.1 Properties of the Normal Distribution
Section 7.2 The Standard Normal Distribution
Section 7.3 Applications of the Normal Distribution
Section 7.4 Assessing Normality
Section 8.1 Distribution of the Sample Mean
Section 8.2 Distribution of the Sample Proportion
Test 3 Chapters 6, 7, & 8
Section 9.1 The Logic in Constructing Confidence Intervals about a Population Mean
Where the Population Standard Deviation is Known
Section 9.2 Confidence Intervals about a Population Mean in Practice Where the
Population Standard Deviation is Unknown
Section 9.3 Confidence Intervals about a Population Proportion
Section 9.4 Confidence Intervals about a Population Standard Deviation
Section 9.5 Putting it All Together: Which Method Do I Use?
Section 10.1 The Language of Hypothesis Testing
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Section 10.2 Testing Claims about a Population Mean Assuming the Population Standard
Deviation is Known
Section 10.3 Testing Claims about a Population Mean in Practice
Section 10.4 Testing Claims about a Population Proportion
Section 10.5 Testing Claims about a Standard Deviation
Section 10.6 Putting it All Together: Which Method Do I Use?
Test 4 Chapters 9 & 10
Section 11.1 Inference about Two Means: Dependent Samples
Section 11.2 Inference about Two Means: Independent Samples
Section 11.3 Inference about Two Population Proportions
Section 11.4 Inference about Two Population Standard Deviations
Section 12.1 Goodness of Fit
Section 12.2 Contingency Tables and Association
Section 12.3 Tests for Independence and the Homogeneity of Proportions
Comprehensive Final Exam
Additional sections for students in MAT 119
Section 13.1 Comparing Three or More Means (One-Way Analysis of Variance)
Section 13.2 Post-Hoc Tests on One-Way Analysis of Variance
Section 13.3 The Randomized Complete Block Design
Section 13.4 Two-Way Analysis of Variance
SERVICES FOR STUDENTS WITH SPECIAL NEEDS: Hagerstown Community
College is committed to providing support services for students who have special
needs. Students are encouraged to identify themselves to the coordinator of special student
services as early as possible. Reasonable accommodations based on current documentation are
provided to qualified students. Jamie Bachtell is the advisor and contact person in The
Office of Students with Disabilities. She may be reached at 301-790-2800 ext. 273
or via e-mail at [email protected].
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