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2019FA-DMAT-0317-81611

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RICHLAND COLLEGE DEPARTMENT OF MATHEMATICS
School of Mathematics, Science, and Health Professions
Course Syllabus for DMAT 0317:
Elementary Statistical Methods – Corequisite Support Course
3 credit hours
INSTRUCTOR’S INFORMATION
(Instructor reserves the right to amend this information as necessary.)
Semester and Year: Fall 2019
Instructor: Donny Le
Class Dates: 8/26/19 - 12/12/19
Classroom: M-147
Section: 81611
Email: [email protected]
Class Days and Times: TR 5:40-7:00PM
Website: portal.carnegiemathpathways.org
Enroll Code: Y8J4-X683
Last Day to Withdraw:
Thursday November 14th by 5 PM CST
Final Exam:
Tuesday, December 10th
5:40PM-7:30PM
Office: M-236
Office Phone: (972)-238-6072
Office Hours: MTWRF by appointment or just go to Math Corner M-125 to see me.
If these times do not work for you, please email me to request an appointment, allowing a
minimum of 24 hours’ notice.
*Please allow 24 hours for email replies on weekdays, longer on weekends.
Evaluation Procedures:
Category
Percentage
In Class Modules, Surveys,
10%
Take It Home Assignments
Online Lessons and Checks
10%
Module Exams (6 total)
60%
Final Exam
20%
Grading Scale
Your grade for DMAT 0317 will be calculated based on your overall score in MATH 1342 as
follows:
A: 90-100%;
B: 80-89%;
C: 70-79%;
D: 60-69%
F: below 60%
INTRODUCTION
Welcome to Richland College’s Mathematics Program! You have enrolled in a lecture
course. This course will help strengthen your mathematical skills through challenging real
world applications. In addition to participating in class sessions, you will need to keep up
with online assignments, work in groups and study several hours each week. Remember
that you can work ahead, however, deadlines are enforced. Don’t fall behind. I am here to
support your learning by helping you with any questions or problems you may encounter.
To get started, read this syllabus carefully. It explains what you should expect and what you
must do to successfully complete this course. Please contact me if you have any questions
that are not answered here. Let’s have a great semester!
Revised for Fall 2019
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REQUIRED MATERIALS
Recommended Model: TI-84 Plus
Graphing
Not permitted: Computer algebra system or algebraic manipulation
Calculator
ability calculator
Workbook and Statway College Workbook with online access code
Access Code* ISBN: 9781975063108
*Note: The name you use on Mobius must match your name as it appears on the official
roster for this course.
CLASS COMPONENTS
Category
Description
In order to be successful, students must attend and participate in
enrolled courses. Remember that sleeping, phone calls, texting,
messaging, food and drinks are not allowed in classrooms. Plan
accordingly. Regular attendance is vital to your success. I expect
punctual class attendance. If you anticipate your late arrival or an early
departure from a class session, you should discuss the circumstances
with me before class begins. Continual disregard of any of these policies
In Class
could result in your expulsion from the course. Students with disabilities
Modules,
who may need academic accommodations should discuss options with
Surveys and
their professors during the first two weeks of class.
Take It Home
Assignments
I will take attendance each class period based on your presence for the
entire class time, participation, group work and written work (in your
Pathways workbook). This grade cannot be made up nor is there any
distinction between excused and unexcused absences. Be sure that you
commit to being present for the entire class time for the duration of this
course. In addition, online surveys must be completed by their due
dates.
 Go to https://portal.carnegiemathpathways.org and log in
 Click “Launch”
 Click on the corresponding module button from the list on the left
 Find the corresponding lesson and click on “Start”
 Read through course material, reviewing videos and taking active
notes. Working with group members is very helpful
Online
 Use “Try These” questions to prepare for checkpoints
Lessons and
 Complete each component before moving on to the next
Checks
 “Try These” items in each lesson and “Checks” at the end of each
section are counted toward your course grade. Work these items
carefully.
 Study for tests by reviewing problems that you struggled with.
 The due time for on-line work is 11:59 pm on the due date. Online
work is not accepted late.
 Before
Tests
o Review online checks, workbook, take it home and review
assignments to prepare
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Final Exam
Instructor
Policies and
Suggestions
for Student
Success
o Review Academic Honesty Policy found in this document
o Print and fill out your test pass and familiarize yourself with the
location and hours for the DMAT testing center
 During
o TI 83/84 graphing calculator is allowed
o You are allowed 1 attempt per test
o Tests cannot be submitted late
o Free response and Multiple Choice: Must show all work to
receive credit
o Approximately 30 Questions: Including application and critical
thinking problems
 After
o I would be happy to review any of your exams with you
individually during office hours
 Before
o Complete final exam review assignment
o Plan to be present at the exam on the date and time listed at the
top of the syllabus
o Check class announcements for testing location
o Review Academic Honesty Policy in this syllabus
 During
o Free response: Must show all work to receive credit
o Approximately 20-30 Questions: Including application and
critical thinking problems
o 1 attempt: Failure to take final exam during designated date
and time results in grade of 0
 After - Final grades will appear on ECampus and EConnect within
one week of final exam submission
Persistence is only productive if you continue to learn. Don’t allow
frustrations to keep you from moving forward. Use your resources!
Remember that you are welcome to visit my office hours any time you
need help outside of class. My course schedule is posted on ECampus
under the announcements. The Learning Center (TLC) in M-216 and the
Center for Success in Mathematics both offer drop-in tutoring. Perhaps
one of the most powerful resources available to you is your classmates.
Form study groups and work together to get through class challenges.
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Anticipated Course Pacing Calendar:
Tuesday
Aug 27
§1.1 - §1.3
Sep 3
§1.7-§1.9
Sep 10
§1.1 - §1.2
§2.3, §2.5
Exam #1 Due
Sep 17
§2.7
Sep 24
§3.3
Exam # 2 Due
Oct 1
§3.5
Oct 8
§4.2
Exam #3 Due
Oct 15
Thursday
Aug 29
§1.4, §1.6
Sep 5
§2.1 - §2.2
Sep 12
§2.6
Sep 19
§3.1-§3.2
Sep 26
§3.4
Oct 3
§4.1
Oct 10
§4.3
Oct 17
§4.4
Oct 22
§5.1-§5.2
Oct 24
§5.3 - §5.4
Exam #4 Due
Oct 29
§5.7
Nov 5
§6.3 - §6.4
Exam #5 Due
Nov 12
§6.7
Nov 19
§7.2
Exam #6 Due
Nov 26
§7.4
Dec 3
Review for Final
§5.5 - §5.6
Oct 31
§6.1-§6.2
Nov 7
§6.5 - §6.6
Nov 14
§7.1
Nov 21
§7.3
Nov 28 Holiday
No Class
Dec 5
Review for Final
Thursday, December 12, 2019
FINAL EXAM
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COURSE SPECIFIC INFORMATION
Catalog Course Description
Collection, analysis, presentation and interpretation of data, and probability. Analysis
included descriptive statistics, correlation and regression, confidence intervals and
hypothesis testing. Use of appropriate technology is recommended.
Prerequisites
College level ready in Mathematics at the non-algebra or algebra levels.
Course Objectives and Learning Outcomes
1. Develop an understanding of basic numerical and statistical concepts.
 Explain the use of data collection and statistics as tools to reach reasonable
conclusions
 Distinguish between observational and experimental study designs.
 Recognize, examine and interpret the basic principles of describing and
presenting data
2. Assist in understanding and applying a limited aspect of descriptive and inferential
statistics.
 Compute and interpret empirical and theoretical probabilities using the rules
of probabilities and combinatorics
 Explain the role of probability in statistics
3. Gain experience in analyzing elementary problems of a statistical nature, choosing
the proper methodology, and interpreting the result statistically.
 Examine, analyze and compare various sampling distributions for both
discrete and continuous random variables
 Describe and compute confidence intervals
 Solve linear regression and correlation problems
 Perform hypothesis testing using statistical methods
Core Statement
Math 1342 is a core course for Core 2015. It is in the Foundational Component Area of
Mathematics. Courses in this category focus on quantitative literacy in logic, patterns, and
relationships. Courses involve the understanding of key mathematical concepts and the
application of appropriate quantitative tools to everyday experience.
The following core objectives will be addressed and assessed through the content covered
in this course:
 Critical Thinking Skills: to include creative thinking, innovation, inquiry, and analysis,
evaluation and syntheses of information
 Communication Skills: to include effective development, interpretation and
expression ideas through written, oral and visual communication
 Empirical and Quantitative Skills: to include the manipulation and analysis of
numerical data or observable facts resulting in informed conclusions.
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Specific Content Coverage
Section
Title
Setting Course Expectations and Creating Productive
1.1
Classroom Norms
1.2
The Statistical Analysis Process
1.3
Research Questions and Types of Statistical Studies
1.4
Random Sampling and Random Assignment
1.6
Distributions of Quantitative Data: Dotplots & Histograms
1.7
Quantifying the Center of a Distribution
1.8
Quantifying Variability Relative to the Median
1.9
Quantifying Variability Relative to the Mean
2.1
Introduction to Probabilities
2.2
Probability Types and Probability Rules
2.3
Probability Distributions of Discrete Random Variables
2.5
Probability Distributions of Continuous Random Variables
2.6
The Normal Distribution and Z-scores
2.7
The Standard Normal Distribution
3.1
Sampling Distributions of Sample Proportions
3.2
Confidence Intervals for a Population Proportion
3.3-3.5 Hypothesis Tests for a Population Proportion
4.1
Sampling Distributions of Sample Means
4.2
Confidence Intervals for a Population Mean
4.3-4.4 Hypothesis Tests for Population Means
5.1
Distributions of Differences Between Sample Proportions
5.2
Testing for Differences Between Population Proportions
5.3
Confidence Intervals for Paired Samples
5.4
Hypothesis Tests for Paired Samples
5.5
Distributions of Differences Between Sample Means
5.6
Testing for Differences Between Population Means
5.7
Summary of Inference Methods
6.1
Scatterplots
6.2
Correlation
6.3
Least Squares Regression
6.4
Residuals and LSR
6.5
The Coefficient of Determination
6.6
Correlation Inference
6.7
Suitability of Linear Regression Model
7.1
The Chi-Square Distribution
7.2
Goodness of Fit
7.3
Testing for Independence with Two-Way Tables
7.4
The Chi-Square Test for Homogeneity in Two-Way Tables
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Objectives
1
1
1
1
1
1
1, 2
1, 2
1, 2
1, 2
1, 2
1, 2
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
1, 3
Academic Dishonesty in Math Classes
Academically dishonest behavior is, in general, the representation of another’s work as
one’s own. This includes unauthorized collaboration between students, and on exams it
includes using books, notes, or other unauthorized materials or websites or apps during the
exam. Students who behave in academically dishonest ways may have their grade
penalized, or be subject to disciplinary action by the Dean of Students. Students who
collaborate during exams or use unauthorized materials or websites or apps on
exams may, at the instructor’s discretion, have the exam grade lowered or be given a
grade of zero. In the instance that a student is given the grade of zero on a unit exam, the
possibility of having any unit exam grade replaced with the Final Exam grade is forfeited.
Students who are academically dishonest on the Final Exam may, at the instructor’s
discretion, have the grade lowered, be given a grade of zero on the final, or be given the
grade of F in the course.
RICHLAND COLLEGE INSTITUTIONAL POLICIES
Institutional Policies relating to this course can be accessed from the following link:
www.richlandcollege.edu/syllabipolicies
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