MTH 201 L00.A
Elementary Statistics
Term:
Time:
Room:
Credit:
Spring 2016
Tuesdays, 7:00pm – 9:30pm
E201
3 Credit Hours
Instructor:
Off. Phone:
Email:
Brandon Seitzler
214.818.1309 (Cell given in
class)
bseitzler@criswell.edu
Course Description
This is an introductory course covering data collection, analysis, presentation, and interpretation of data and
probability. Topics include descriptive statistics, estimation, confidence intervals, hypothesis testing, correlation
and regression.
Course Objectives
At the end of this course, the student should be able to:
1. Define and summarize research design and data collection principles and concepts.
2. Create and interpret graphical data summaries.
3. Calculate and interpret summary statistics.
4. Calculate probabilities.
5. Perform hypothesis tests.
Required Course Materials
1. Diez, David M., Christopher D. Barr, Mine Cetinkaya-Rundel. OpenIntro Statistics. 3rd ed. 2015. Current
Printing: July 2015. https://www.openintro.org/stat/textbook.php?stat_book=os
a. Note that OpenIntro Statistics, 3rd ed. may be downloaded for free at the link listed above. Hard
copies are also available to purchase on Amazon.
2. R statistical computing software. May be obtained free at: http://cran.at.r-project.org
3. R Studio. May be obtained free at: http://www.rstudio.com
4. Note that if you do note have a personal computer R and RStudio will be available to use in the
Criswell computer lab. There is no need to go but a computer just for this class. Although, if you are
looking for an excuse to purchase a new gadget I am more than happy to be an enabler!
5. A basic calculator that can take square roots and raise numbers to powers is required.
Course Requirements
1. Homework (40%): Students will complete 8 homework assignments.
2. Exams (60%): Students will have three exams over the course of the semester. These exams are not
cumulative. All exams are open note and open book.
3. Additional in-class quizzes and assignments will not count toward your final grade.
Blackboard
This course will utilize Blackboard and each student must ensure he/she has access to the course Blackboard
site. Each student is required to make sure she/he has access to her/his Blackboard account and can log into
the course page. If you are unable to access the course on Blackboard or have any login issues, please send
an email to blackboard@criswell.edu and provide a detailed description of your problem.
MTH 201 Syllabus
Page 1 of 4
Attendance Policy
Absences: Since class participation is vital to learning, absences should be taken only when absolutely
necessary. More than three (3) absences will result in a grade of “F” for the courses. Students are responsible
for all absences due to illness or any other reason. Granting of excused absences is permitted at the discretion
of the professor.
Tardies: Missing more than fifteen (15) minutes at the beginning or end of a class period is considered one
absence. Three instances of tardiness of fifteen minutes or less equals one absence. The tardy student is
responsible for notifying the professor of his/her presence in writing at the end of class. Students who wish to
depart early should clear it with the professor.
Grading Scale
A
97-100
A93-96
B+
91-92
B
88-90
B86-87
C+
83-85
C
80-82
C78-79
D+
75-77
D
72-74
D70-71
F
0-69
4.0 grade points per semester hour
3.7 grade points per semester hour
3.3 grade points per semester hour
3.0 grade points per semester hour
2.7 grade points per semester hour
2.3 grade points per semester hour
2.0 grade points per semester hour
1.7 grade points per semester hour
1.3 grade points per semester hour
1.0 grade point per semester hour
0.7 grade points per semester hour
0.0 grade points per semester hour
Incomplete Grades
Students requesting a grade of Incomplete (I) must understand that incomplete grades maybe given only upon
approval of the faculty member involved. An “I” may be assigned only when a student is currently passing a
course and in situations involving extended illness, serious injury, death in the family, or employment or
government reassignment, not student neglect.
Students are responsible for contacting their professors prior to the end of the semester, plus filing the
appropriate completed and approved academic request form with the Registrar’s Office. The “I” must be
removed (by completing the remaining course requirements) no later than 60 calendar days after the grade
was assigned, or the “I” will become an “F.”
Academic Honesty
Absolute truth is an essential belief and basis of behavior for those who believe in a God who cannot lie and
forbids falsehood. Academic honesty is the application of the principle of truth in the classroom setting.
Academic honesty includes the basic premise that all work submitted by students must be their own and any
ideas derived or copied from elsewhere must be carefully documented.
Academic dishonesty includes, but is not limited to:
• cheating of any kind,
• submitting, without proper approval, work originally prepared by the student for another course,
• plagiarism, which is the submitting of work prepared by someone else as if it were his own, and
• failing to credit sources properly in written work.
MTH 201 Syllabus
Page 2 of 4
Learning Disabilities
In order to ensure full class participation, any student with a disabling condition requiring special
accommodations (e.g., tape recorders, special adaptive equipment, special note-taking or test-taking needs) is
strongly encouraged to contact the instructor at the beginning of the course or if a student has a learning
disability, please inform the professor so assistance can be provided.
Auditing and Sit-in Students
Any student may enroll in a course as an Auditor or Sit-in as long as the class is below capacity. A student’s
permanent transcript will reflect which courses have been completed as audits. Sit-in students are not given
grades by professors and their transcripts will not reflect enrollment in the course. Taking tests and
participation in course activities are afforded to credit students in the syllabus and is at the discretion of the
professor.
Course Outline - Note: this schedule is subject to change at the Professor’s discretion.
Date
Topic
Week 1
Class and syllabus
introduction
Introduction to data
and statistics
Week 2
Reading Due
Week 3
Probability
Week 4
Descriptive Statistics
and Central Tendency
Week 5
Exam #1
Week 6
Normal Distribution
Z Score (standard
score)
Variability in estimates
Confidence intervals
Week 7
Week 8
Mar. 14-18
Spring Break
Week 9
Hypothesis Testing
Week 10
Difference of means
T-test
Week 11
Exam #2
–
Assignment
Due
Sec. 1.1 – Case study
Sec. 1.2 – Data basics
Sec. 1.3 – Overview of data collection principles
Sec. 1.4 – Observational studies and sampling
strategies
Sec. 1.5 - Experiments
Sec. 2.1 – Defining probability
Sec. 2.2 – Conditional probability
Sec. 1.6 – Examining numerical data
Sec. 1.7 – Considering categorical data
Sec. 1.8 – Case study: gender discrimination
HW #1
Due
HW #2
Due
Sec. 3.1 – Normal distribution
Sec. 3.2 – Evaluating the normal approximation
Sec. 4.1 – Variability in estimates
Sec. 4.2 – Confidence Intervals
HW #3
Due
NO CLASS
Sec. 4.3 – Hypothesis testing
Sec. 4.4 – Examining the Central Limit Theorem
Sec. 5.1 – Paired data
Sec. 5.2 – Difference of two means
Sec. 5.3 – One-sample means with the t distribution
Sec. 5.4 – The t distribution for the difference of
two means
HW #4
Due
HW #5
Due
MTH 201 Syllabus
Page 3 of 4
Week 12
ANOVA
Sec. 5.5 – Comparing many means with ANOVA
Week 13
Inference for a single
proportion
Difference of two
proportions
Chi-Square
Sec. 6.1 – Inference for a single proportion
Sec. 6.2 – Difference of two proportions
HW #6
Due
Sec. 6.3 – Testing for goodness of fit using chisquare
Sec. 6.4 – Testing for independence in two-way
tables
Sec. 7.1 – Line fitting, residuals, and correlation
Sec. 7.2 – Fitting a line by least squares regression
HW #7
Due
Week 14
Week 15
Week 16
Introduction to linear
regression
Exam #3
HW #8
Due
MTH 201 Syllabus
Page 4 of 4