STA 2023 (883309) SYLLABUS
COURSE NUMBER: STA 2023
COURSE NAME: Statistical Methods
REFERENCE NUMBER: 883309
TERM: Spring 2015-2
CLASS MEETINGS: MW, 2:50pm – 4:05pm, Room 2104
INSTRUCTOR: LaVonne Dube, Instructor
Phone: 305-237-3699
Office: 1546
Email: llove@mdc.edu,
Web site: http://faculty.mdc.edu/llove
OFFICE HOURS:
http://faculty.mdc.edu/llove
MATH DEPT.: Wolfson Campus, Bldg 1, Rm. 1540, phone 305-237-7461
COURSE DESCRIPTION: The student in this course will acquire knowledge in the following topics:
collecting, grouping, and presenting data; measures of central tendency and dispersion; probability; testing
hypotheses; confidence intervals, and correlation. (3 hr. lecture)
Course Objectives:
1.
2.
3.
4.
5.
Describe a data set using methods of graphing, measures of central tendency and dispersion, and
measures of relative standing.
Identify and apply basic probability theory to solve probability problems.
Identify and apply the appropriate method for estimating a proportion, a mean where σ is known,
and a mean where σ is unknown.
Identify and apply the appropriate method for conducting a hypothesis test for a proportion, a mean
where σ is known, a mean where σ is unknown, and the difference between two means.
Interpret a scatter-plot, a correlation coefficient, and a simple linear regression equation.
PRE-REQUISITE: MAT 1033 with grade of C or better or equivalent.
TEXT: Essentials of Statistics, 5th Edition, Mario F. Triola
Calculator: A calculator that has basic functions is CRITICAL to your success in the course. The
calculator on your cell phone is not allowed in exams and usually is not adequate for the work we will be
doing. While the TI-83 or TI-84 calculators have functions that will make the calculations simpler, this
specific brand of calculator is not mandatory to be successful in the course.
TI-83 or TI-84 Calculator: In class we will be using these Texas Instruments calculators for some of our
calculating. We will learn some of the features that help us organize data, do statistical calculations, and
present results. The publisher of the textbook also provides a manual which discusses the features of these
calculators which are relevant to the topics in the textbook. Students can receive this manual along with the
textbook, when they purchase it new at our bookstore. The chapters of the manual are organized to
correspond with the material of the chapters of the textbook. If you are using the TI brand of calculator, you
are encouraged to utilize the manual along with the chapters of the textbook.
Required on-line Homework in MyMathLab: With the textbook, Students should receive an access code for
the MyMathLab course that the instructor has created online to supplement this course. The website for the
online course is www.pearsonmylabandmastering.com. The course ID for the MyMathLab course is
love19428. There is on-line homework assigned for each section we cover in class. The required
homework that is online makes up approximately 25% of the overall grade of the live course (see
GRADING POLICY and FINAL GRADE DETERMINATION). The homework is open and available
throughout the semester until the deadline of 11:59pm, Friday April 22, 2016.
Also in MyMathLab students can find helpful materials such as videos, tutorials, and portions of the
textbook. The MyStatLab Student Help Desk phone number is 800-677-6337.
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WOLFSON CAMPUS MATH LAB: Students can obtain assistance for mathematics classes in the
Mathematics Laboratory, room 2223. In room 2223 students will find course-related videotapes and
computer software, and tutors that can help you to successfully complete this course. The Math Lab is
open during the following hours:
MTWR 8:00 AM-8:00 PM, F 8:00 AM-2:00 PM, Saturday 10:00 AM-2:00 PM.
You do not need an appointment. The telephone number for the lab is 305-237-3834. If you have a
problem with the Math Lab, please contact Jose De Paz at 305-237-3971
Guidelines for Courtesy and Respect in the Classroom: I would like to welcome all students into an
environment that creates a sense of community, pride, courtesy and respect; we are all here to work
cooperatively and to learn together. In order to create a smooth and harmonious learning
community, please make every attempt to come to all the class sessions, to come to class on time, and
to stay until the end of the meeting unless you have informed me that you must leave early. There
may be a time when you are unavoidably late for class. In that case, please come into the room
quietly (through the back door if there is one) and choose a seat closest to the entrance. Please turn
off all cell phones and beepers prior to class. Once the class session has begun, please do not leave the
room and then re-enter unless it is an emergency. If you miss a class meeting for any reason, you are
responsible for all material discussed, for announcements made in your absence, and for acquiring
any materials that may have been distributed in class. You are responsible for contacting the
instructor for this information or obtaining it from a fellow student. It is important that we are all
able to stay focused on the class discussion. For this reason, only one person in the class at a time
should be speaking. Side conversations are distracting for surrounding students and for the
instructor. As you can see, simple norms of courtesy should be sufficient to have our class run in the
best interest of all of us. Professional behavior is expected at all times. Thank you in advance for your
cooperation.
Cell Phones: Cell phones must be turned off before you enter the classroom. If your cell phone rings in
class or you choose to text messages during class, you will be asked to leave the classroom for that day.
Academic Honesty: In this course, students are encouraged to work with others outside of class. Students
are encouraged to consult with other students, books, mathlab, professors, etc on homework problems.
Such collaboration outside of class will likely shape the students work on assignments. It is expected that
the student’s final version of their homework be their own. On occasions such as in-class individual tests,
where it is emphasized that your work should be your own, it is not permitted to copy other student’s test
papers, or to use hidden, prepared notes to gain an advantage on a test. On an exam or a quiz there is no
sharing of anything (calculator, eraser, etc.). Such behavior might result in consequences ranging from an
‘F’ on a test, ‘F’ in the course, to dismissal from the College. Please refer to page 13 of the Students’ Rights
and Responsibilities handbook for a more detailed discussion on academic dishonesty and resulting
sanctions.
Problems with the Instructor: If you are having a problem with your mathematics instructor, please see that
instructor during office hours. Before or after class is generally not a good time to discuss a problem with
an instructor who is either about to start class or on the way to the next class. If after speaking with your
instructor during office hours you cannot resolve the problem, then you need to visit the chairperson (office
1540) as the next step.
Withdrawal: If you feel that you will be unable to complete the requirements for passing a class, it is
important that you drop the class by the college's "drop date" as established by the registrar's office. You
should speak to your instructor prior to making the decision to drop. Remember that it is your
responsibility to drop a class, not the instructor's. If circumstances such as illness, accident, change in
employment situation, etc., prevent you from continuing to attend your class BEFORE the drop date, speak
to your instructor and see the Dean of Students for your options regarding an appeal. If such a
situation occurs AFTER the drop date, you should contact the instructor for information as to how you can
complete the requirements for passing the course. The last day to register or withdraw with a 100% refund
is Monday, January 11, 2016. The last day for students to withdraw and receive a grade of
“W” is Wednesday,March 16, 2016.
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Registration: It is your responsibility to make sure that you are registered for this course. Be sure to obtain
a copy of your schedule to verify the reference number and that you do not have any outstanding fees.
GRADING POLICY: You will have 4 unit tests during the semester, 4 quizzes, and a cumulative final
exam. Homework assignments and attendance combine as 210 possible points. If you miss one test, then
your score on the missed test is a zero, and the score of the final will replace the score of the missed test.
There are NO make-ups. The most stringent grade scale that will be enforced is as follows:
90% - 100%
A
80% - 89%
B
70% - 79%
C
60% - 69%
D
Below 60%
F
FINAL GRADE DETERMINATION:
Homework and attendance
Four Quizzes
Four Unit tests
Final Examination
Total possible points
A
B
C
D
F
210 possible points total
100 possible points total
400 possible points total
200 possible points total
910
819-910 points
728-818 points
637-727 points
546-636 points
0-545 points
Incomplete: The grade of I (Incomplete) is given in the rare case that a student is PASSING a class but for
some extenuating circumstance is unable to complete the last part (usually the final exam) of the class. If
you are not passing your class, it is not possible for your instructor to give you an I. Note that you will
have one full term (Fall or Winter) to complete the requirements of your Incomplete contract. If you do not
complete your requirements in that time, the I generally will automatically change to an F on your records.
The instructor makes the determination as to whether you are eligible for an Incomplete.
ATTENDANCE: Students are expected to attend all class meetings. Attendance will be recorded at the
beginning of each class. Three unexcused absences prior to the final purge date will result in an Instructor
Withdrawal from the course.
MAKE-UP TESTS: There will be no make-up tests. If you miss one test for any reason, your final exam
grade will be substituted for that test grade. If you miss two or more tests, the grade for those tests will be
zero.
ASSISTANCE: If you have questions about the material, I encourage you to ask questions during class. For
more substantial help, please see me during office hours.
IMPORTANT DATES
Classes begin
Last day for drop with W
Homework Submission Closes
Classes end
Final Exam Week
Your final exam will be on Monday, April 25. You are expected to
take your final exam with the class.
Holidays
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T Jan 5, 2016
W Mar 16, 2016
11:59 pm
F Apr 22, 2016
F Apr 22, 2016
Apr 23 – Apr 29, 2016
M Jan 18, 2016
M Feb 15, 2016
Tentative Test Schedule: In order to complete our learning objectives this semester, we will try to adhere to
the following TENTATIVE schedule. It is recommended that students try to keep ahead of schedule in
their reading. Due to time constraints, we will not always have as much class time as we would like to
thoroughly work on topics. Thus, students are expected to continue their learning process outside of class,
through studying the textbook, and practicing problems.
Exam 1: Chapters 1, 2 & 3
Exam 2: Chapter 4 & sections 5.1, 5.2
Exam 3: Sections 5.3, 5.4 & Chapter 6
Exam 4: Chapters 7 & 8
Final: Cumulative
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Additional Recommended Homework Assignments
In Addition to the online homework which is required, the following textbook problems
are recommended, to help students hone their skills.
Section
1-2
1-3
1-4
2-2
2-3
3-2
3-3
3-4
4-2
4-3
4-4
4-5
4-6
5-2
5-3
5-4
6-2
6-3
6-5
6-7
7-2
7-3
8-2
8-3
8-4
9-3
9-4
10-2
10-3
Homework
1,3,5,7,9,11,13,15,17,19,21,23,25,27
5,7,9,11,13,15,17,19
5,7,9,15,17,29
5,7
5,7,9,11,17,29
5,7,9,11,17,41,43
5,7,9,11,13,15,17,19,21,23
5,13,15,17,19,21,23,27,29,31,33,35,37,39
5,7,9,11,13,17,19,21,23,25,27,29,31
5,7,9,11,13,15,17,19,21,23,25,27
5,7,9,11,13,15,17,19,21,23,25,27
5,7,9,11,15,17,21,23,25,31,33
5,7,9,11,19,21
5,7,9,13,15,17,19,21,23,25,27,29
5,7,9,11,13,15,17
17,19,21,23,25,27,29,31,37,39,41,43,45,47
5,7,13,15,17,19,21,23,25,27,29
5,7,9,11,15,17,19
5,7,9,11,15,17,19
5,7,9,13,15,17,21,25,29,31
5,7,9,11,13,15,25,27,35
5,7,17,19,21,23,25,27
5,9,11,13,17,19,23,25
11,13,15,17,29,31
9,13,15
9,15
5,7,23
5,7,23
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Learning Outcomes: The competencies and objectives included in this course will address some of the
Miami Dade College General Education outcomes. These are a set of 10 learning outcomes we expect
graduating students to master in the years to come.
Miami Dade College General Education Outcomes
As graduates of Miami Dade College, students will be able to:
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
Communicate effectively using listening, speaking, reading, and writing skills.
Use quantitative analytical skills to evaluate and process numerical data.
Solve problems using critical and creative thinking and scientific reasoning.
Formulate strategies to locate, evaluate, and apply information.
Demonstrate knowledge of diverse cultures, including global and historical perspectives.
Create strategies that can be used to fulfill personal, civic, and social responsibilities.
Demonstrate knowledge of ethical thinking and its application to issues in society.
Use computer and emerging technologies effectively.
Demonstrate an appreciation for aesthetics and creative activities.
Describe how natural systems function and recognize the impact of humans on the environment.
The learning activities designed in this course will address outcomes 1, 2, 3, 4, 8 and 10. The selected
problems may also introduce concepts in outcomes 5, 6, 7, and 9.
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Miami-Dade College
STA 2023 – Course Competencies
The student in this course will acquire knowledge in the following topics: collecting,
grouping, and presenting data; measures of central tendency and dispersion; probability;
testing hypotheses; confidence intervals, and correlation. (3 hr. lecture)
Co-requisite: MAC 1105 or higher.
Competency 1: The student will be able to analyze data by:
a. Constructing and interpreting frequency tables and graphs such as bar graphs, pie
charts and stem-and-leaf plots.
b. Computing and interpreting the measures of centrality: the mean, median, mode
and midrange.
c. Computing and interpreting the measures of dispersion: the range, variance and
standard deviation.
Competency 2: The student will be able to apply the measures of position by:
a. Computing z-scores.
b. Applying the Empirical Rule to the Normal Distribution.
c. Applying the Chebyshev’s Rule to the Non-Normal (or unknown) Distributions.
Competency 3: The student will be able to apply the counting principles by:
a. Defining the Fundamental Counting Principle.
b. Computing the possible outcomes of compound events.
c. Computing Combinations and Permutations.
Competency 4: The student will be able to apply basic probability theory by:
a. Describing a sample space and an event.
b. Calculating probabilities of simple, compound and conditional events.
Competency 5: The student will be able to analyze random variables by:
a. Distinguishing between discrete and continuous random variables.
b. Constructing a probability distribution for a discrete random variable and
computing its mean and standard deviation.
c. Computing probabilities for random variables having a binomial distribution.
d. Computing probabilities for random variables having a normal distribution.
e. Applying the Central Limit Theorem.
f. Approximating the Binomial Probability using the Normal Distribution.
Competency 6: The student will be able to analyze confidence intervals by:
a. Constructing confidence intervals of a single mean with a known population
standard deviation.
b. Constructing confidence intervals of a single mean with an unknown population
standard deviation.
c. Constructing confidence intervals of a single proportion.
d. Constructing confidence intervals of the difference between two means.
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Competency 7: The student will be able to apply hypothesis test procedures by:
a. Identifying Type I and Type II errors.
b. Identifying and interpreting p-values.
c. Testing a single mean for large or small samples
d. Testing the difference between two means.
e. Testing a single proportion.
Competency 8: The student will be able to analyze bivariate data by:
a. Constructing and interpreting a scatter-plot.
b. Computing and interpreting the linear correlation coefficient.
c. Determining the simple linear regression equation and using it to make predictions.
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