Course Number: MATH 1342

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COLLIN COUNTY COMMUNITY COLLEGE
COURSE SYLLABUS
SPRING 2015
Course Number: MATH 1342
Course Title: ELEMENTARY STATISTICAL METHODS
Instructor’s Information:
Instructor’s Name: Alan Sauter
Office Number: LA 224
Office Hours: MW 10-10:30am, 4-4:30pm, TR 2:30-3pm (LA 224);
F 10-Noon (Math Lab, C220); MW 10:30-11am (online)
Phone Number: 972-548-6733
Email: [email protected]
(The department office contact in case of emergencies is: Office of Academic Affairs,
B-122 F, 214-491-6270.)
Class Information:
Section Number: C03
Meeting Times:
MW 2:30-3:45pm
Meeting Location: LA 238 (CPC)
Course Description: Collection, analysis, presentation and interpretation of data, and
probability. Analysis includes descriptive statistics, correlation and regression, confidence
intervals and hypothesis testing. Use of appropriate technology is recommended. Lab
required and is part of the 3 hour class.
Course Credit Hours: 3
Lecture Hours: 3
Lab Hours: 1
Placement Assessment(s): Prior to enrolling in this course, the student must demonstrate
eligibility to enroll in the following: MATH 1314, MATH 1324, MATH 1342, or higher.
Prerequisite: TSI placement.
Course Resources: Required: Statistics – Informed Decisions Using Data, Sullivan,
Michael III, 4th Edition, Pearson Education, 2013. Purchase with MyStatLab access pin
code. (Note: text is available online at MyStatLab.) Class notes for most sections will be
posted periodically at the instructor’s web page on Cougarweb. These should be printed
and brought to the class meeting for which the section is scheduled to be covered.
Supplies: Required: Graphing calculator (TI-83 or TI-84), pencils, erasers, notebooks.
Access code for MyStatLab.
MATH 1342.C03
Spring 2015
Student Learning Outcomes:
Upon completion of this course the students should be able to do the following:
1. Explain the use of data collection and statistics as tools to reach reasonable
conclusions.
2. Recognize, examine and interpret the basic principles of describing and presenting
data.
3. Compute and interpret empirical and theoretical probabilities using the rules of
probabilities and combinatorics.
4. Explain the role of probability in statistics. (Empirical and Quantitative)
5. Examine, analyze and compare various sampling distributions for both discrete and
continuous random variables.
6. Describe and compute confidence intervals.
7. Solve linear regression and correlation problems. (Critical Thinking and
Communication)
8. Perform hypothesis testing using statistical methods. (Critical Thinking and
Communication)
Method of Evaluation:
Attending lectures, completing assignments and labs, completing required exams, and
knowledge of calculator use are all required.
Brief Description Of Major Course Requirements:
Homework: Homework assignments are located on MyStatLab. Homework assignments are due
one hour before the start of the next class period. Late homework will be awarded partial or
no credit. (Students missing class are expected to keep up with their studies and complete
homework assignments per the schedule.) Additional assignments, some of which may be
required to be turned in, may be assigned.
Tests: There will be four regular tests, to be taken in the classroom. There are no make-up tests.
The lowest of these test scores may be replaced with the final exam percentage.
Final Exam: The Final Exam is comprehensive and must be taken in class on the scheduled date.
Labs: Each lab will consist of a project or a set of problems to be distributed in class or through
Cougarmail. Labs must be completed outside of class.
Grading:
Grading on tests and labs is based on correct work, as well as correct answers. Please
note that a correct answer with incorrect, incomplete, or unclear work may not
receive credit.
MATH 1342.C03
Spring 2015
Grading Policy:
Homework
=
Tests (100 pts. each x 4 tests) =
Final Exam
=
Labs
=
TOTAL
100 pts.
400 pts.
100 pts.
50 pts.
---------650 pts.
Course Grade:
90 – 100%
80 – 89%
70 – 79%
60 – 69%
0 – 59%
A
B
C
D
F
Attendance Policy: Regular attendance is expected of all students. If a student is unable to
attend, it is his/her responsibility to contact the instructor to obtain assignments.
Withdrawal Policy: See the current Collin Registration Guide for the last day to withdraw.
Americans with Disabilities Act: Collin College will adhere to all applicable federal, state
and local laws, regulations and guidelines with respect to providing reasonable
accommodations as required to afford equal opportunity. It is the student’s responsibility to
contact the ACCESS office, room D118-I (CPC) or 972.548.6816 (V/TTD: 972.881.5950) to
arrange for appropriate accommodations. See the current Collin Student Handbook for
additional information.
Collin College Academic Policies: See the current Collin Student Handbook.
In regards to Scholastic Dishonesty (Academic Ethics), please check the Student
Handbook to determine if there are any changes. This is from the 2014–2015 Student
Handbook.
Scholastic Dishonesty
Every member of the Collin College community is expected to maintain the highest
standards of academic integrity. Collin College may initiate disciplinary proceedings against
a student accused of scholastic dishonesty. While specific examples are listed below, this is
not an exhaustive list and scholastic dishonesty may encompass other conduct, including
any conduct through electronic or computerized means. Scholastic dishonesty shall
involve, but is not limited to, one or more of the following acts:
General Scholastic Dishonesty includes, but is not limited to, statements, acts, or
omissions related to applications for enrollment, credit or class work, research, and/or the
award of a degree; falsifying academic records; using annotated texts or teacher’s editions;
using information about exams posted on the Internet or in any electronic medium; leaving a
test site without authority; failing to secure test materials; and/or submitting work that is not
one’s own. All work submitted for credit is expected to be the student’s own work. Students
are expected to record honestly and accurately the results of all their research. Falsification
of research results includes misrepresentation, distortions, or omissions in data or reports
on research.
MATH 1342.C03
Spring 2015
Plagiarism is the use of an author’s words or ideas as if they were one’s own without giving
credit to the source, including, but not limited to, failure to acknowledge a direct quotation.
In the preparation of all papers and other written work, students must distinguish their own
ideas and knowledge from information derived from other sources. The term “sources”
includes not only published primary and secondary materials, but also information and
opinions gained directly from other people. Whenever ideas or facts are derived from a
source, the source must be indicated by the student.
Cheating is the willful giving or receiving of information in an unauthorized manner during
an examination or to complete an assignment; collaborating with another student during an
examination without authority; using, buying, selling, soliciting, stealing, or otherwise
obtaining course assignments and/or examination questions in advance; unauthorized
copying of computer or Internet files; using someone else’s work for assignments as if it
were one’s own; submitting or resubmitting an assignment (in whole or in part) for more
than one (1) class or institution without permission from the professor(s); or any other
dishonest means of attempting to fulfill the requirements of a course.
Collusion is intentionally or unintentionally aiding or attempting to aid another in an act of
scholastic dishonesty, including but not limited to, failing to secure academic work; providing
a paper or project to another student; providing an inappropriate level of assistance or
unauthorized collaboration; communicating answers to a classmate about an examination
or any other course assignment; removing tests or answer sheets from a test site; and
allowing a classmate to copy answers.
Students found responsible for scholastic dishonesty offenses will receive an authorized
disciplinary penalty or penalties from the Dean of Student Development Office. The student
may also receive an academic penalty in the course where the scholastic dishonesty took
place. The faculty member will determine the appropriate academic penalty.
Note: For this class the academic penalty for scholastic dishonesty may include a grade of
zero on the given test or assignment or, in some cases, a grade of F for the class.
MATH 1342.C03
Spring 2015
Course Calendar:
GENERAL DESCRIPTION OF THE SUBJECT MATTER OF EACH SECTION COVERED:
Section
1.1
1.2
1.3
1.4
1.5
1.6
2.1
2.2
2.4
3.1
3.2
3.4
3.5
5.1
5.2
5.3
5.4
5.5
5.6
6.1
6.2
7.1
7.2
8.1
8.2
9.1
9.2
9.3
9.4
10.1
10.2
10.3
10.4
10.5
11.1
11.2
Topics
Introduction to the Practice of Statistics
Observational Studies vs. Designed Experiments
Simple Random Sampling
Other Effective Sampling Methods
Bias in Sampling
The Design of Experiments
Organizing Qualitative Data
Organizing Quantitative Data
Graphical Misrepresentations of Data
Measures of Central Tendency
Measures of Dispersion
Measures of Position and Outliers
The Five-Number Summary and Boxplots
Probability Rules
The Addition Rule and Complements
Independence and the Multiplication Rule
Conditional Probability and the General Multiplication Rule
Counting Techniques
Choosing Methods for Probabilities
Discrete Random Variables
The Binomial Probability Distribution
Properties of the Normal Distribution
Applications of the Normal Distribution
Distributions of the Sample Mean
Distributions of the Sample Proportion
Estimating a Population Proportion
Estimating a Population Mean
Estimating a Population Standard Deviation
Choosing the Right Procedure for Confidence Intervals
The Language of Hypothesis Testing
Hypothesis Tests for a Population Proportion
Hypothesis Tests for a Population Mean
Hypothesis Tests for a Population Standard Deviation
Choosing the Right Method for Hypothesis Testing
Inference About Two Population Proportions
Inference About Two Means: Dependent Samples
MATH 1342.C03
11.3
11.5
4.1
4.2
Spring 2015
Inference About Two Means: Independent Samples
Choosing the Right Method for Inferences
Scatter Diagrams and Correlation
Least-Squares Regression
Note: (1) The instructor reserves the right to make changes to this syllabus during the
semester. Changes will be announced during class or emailed to students’ school
email addresses.
MATH 1342.C03
TENTATIVE COURSE CALENDAR
Date
1/19
1/26
2/2
2/9
2/16
2/23
3/2
3/9
3/16
3/23
3/30
4/6
4/13
4/20
4/27
5/4
5/11
Sections
No Class
2.1, 2.2, 2.4
3.4, 3.5
5.3
5.4
6.1
7.1, 7.2
Spring Break
Test 2
9.1, 9.2
9.4, 10.1
(10.3), 10.4
Test 3
finish 11.2, 11.3
4.1
Test 4
Final Exam 2:30-4:30 pm
MATH 1342.C03
Date
1/21
1/28
2/4
2/11
2/18
2/25
3/ 4
3/11
3/18
3/25
4/1
4/8
4/15
4/22
4/29
5/6
5/13
SPRING 2015
Sections
Intro, Ch. 1
3.1, 3.2
5.1, 5.2
Test 1
5.5, 5.6
6.2
(7.2), Review
Spring Break
8.1, 8.2
(9.2), 9.3
10.2, 10.3
10.5
11.1, start 11.2
11.5
4.2
Review
XXXXXXXX
Important dates:
January 19
March 9-15
March 20
- MLK Day, no classes.
- Spring Break, no classes
- Last day to withdraw from Spring classes.
Lab Schedule (Tentative)
Lab #
Topic
Lab 1
Frequency Distributions and Graphs (Ch. 2)
Lab 2
Probability (Ch. 5)
Lab 3
Normal Distribution (Ch. 7)
Lab 4
Hypothesis Testing (Ch. 10)
Lab 5
Linear Regression (Ch. 4)
Spring 2015
Due ( 2:30 p.m.)
2/4
3/2
3/16
4/13
5/4
MATH 1342.C03
Spring 2015
STUDENT CLASSROOM BEHAVIOR:
1. Students should respect others at all times.
2. Students should arrive before the scheduled start of class and be seated and
prepared for the start of class. Late arrivals should quietly take the nearest available
seat to the door. Repeated tardiness may result in disciplinary action.
3. Cell phones should be turned off and placed out of view (in a bag or purse, for
instance). Headsets (for music, phones, etc.) are not allowed. Laptop computers
should not be used during class. With the exception of a calculator, all electronic
devices are to be switched off during class, unless an exception is obtained from the
instructor in advance.
4. Audio and/or visual recordings in the classroom are not allowed without the prior
written approval of the instructor.
5. Sleeping in class is not allowed. Students resting their head on the desk or wall may
be asked to leave the classroom. Attention to classroom instruction and activities is
expected at all times.
6. Students are expected to remain in the classroom for the full duration of the class
period. Students should only leave the room for emergencies and should notify the
instructor of the nature of the emergency.
7. Socializing during class is inappropriate. When the instructor is speaking, they
should have your full attention. When another student is asking a question of the
instructor, they should have your full attention. Students may be assigned seating,
as necessary.
8. Eating meals in the classroom is inappropriate.
9. Inappropriate or disruptive behavior may result in the student(s) being asked to
leave the classroom and may also lead to disciplinary action.
10. Each infraction of a class rule may result in a ten point deduction from the student’s
grade point total. Repeated or serious infractions may result in referral for
disciplinary action.
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