Cleveland State University Department of Mathematics MTH 323, Spring 2015 Statistical Methods

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Cleveland State University
Department of Mathematics
MTH 323, Spring 2015
Statistical Methods
3 credit hours
Instructor Information:
Name: Ms. Preisler
Phone: 216-687-9248 office RT1531
Email: t.preisler@csuohio.edu
tashapreisler@yahoo.com
Office Address: RT1531
Scheduled Office Hours: MW: 3:30 pm to 4:30 pm RT1531
Course Meeting Times and Location
Class Days: MW 4:30 pm to 5:45 pm
Mondays: LB 243 Lecture
Wednesdays: MC 435 Lab
Final exam date and time: Monday, May 4 at 4:00 pm to 6:00 pm
Text
Statistics: Unlocking the Power of Data, Lock, R, Frazer Lock, P., Lock Morgan, K., Lock, E., and Lock, D.,
Wiley, 2013.
Prerequisite
MATH 182 and a 200-level math course.
Course Description/Objectives
This course is an introduction to statistical concepts and methodology. Topics covered will include data
collection, graphical and numerical summary techniques, basic probability, discrete random variables,
continuous random variables, central limit theorem, confidence intervals, hypothesis testing of a
proportion, hypothesis testing of a mean, two-sample hypothesis testing, chi square testing, and
regression.
Course Objectives
Upon completion of this course, students will become proficient in
 summarizing data both graphically and numerically
 understand reliable and unreliable means of collecting data
 comprehending the concept of sampling variability
 constructing and interpreting confidence intervals
 conducting tests of inference
 understanding the concept of statistical significance
 analyzing relationships between variables
 using computer technology for statistical graphs and calculations
Methods of Assessment
Homework
20%
Exams
60%
Quizzes
20%
Grading
Course average
Grade
Course average
Grade
92.0-100%
90.0-91.9
88.0-89.9
82-87.9
80.0-81.9
A
AB+
B
B-
78.0-79.9
70-77.9
60-69.9
0-59.9
C+
C
D
F
Course Requirements
Quizzes: There will be in-class quizzes that cover the most recent class material. Quizzes will be
announced one class day ahead. You will be able to work in a group to collaborate on quizzes. The
maximum number of students in a group is 3 and no notes or book is permitted. If you miss a quiz you
are responsible to make arrangements to make it up.
Exams: There will be three comprehensive exams during the semester. Tentative dates for the exams are
listed on the course calendar. Final exam date is also listed on the course calendar. Exams will be in-class,
based on material from class and the textbook, and are open-book, open-notes tests. You are responsible
for all material covered in class. For the exams, software will not be required, but output may need to be
interpreted. A calculator will be needed. Cell phone calculators will not be permitted for use on exams.
Homework assignments: There will be weekly homework assignments from the textbook. It is important
to do all of the assigned problems in order to learn the material and do well on the quizzes and exams.
Homework will be graded for completeness, however incorrect problems should be reviewed. Late
homework will be accepted, but 10% will be deducted for each class period after the due date.
Class Conduct
Please bring your scientific calculator to each class. Cell phones should be turned off or placed on vibrate.
Text messaging during class is not appropriate and grounds for removal from class. During computer lab
sessions, checking email and surfing the web is inappropriate. If you are late to class or leave early, please
do so with minimal disruption to the classroom environment.
Attendance
There is a direct correlation between success in the post-secondary classroom and consistent class
attendance. If you miss a class, it is your responsibility to cover the material from that class. Attendance
will be taken into consideration for borderline final grade assignments. In general, there are no make-up or
retake exams. A make-up exam will only be permitted in the case of a proven emergency (i.e.
documentation can be produced to validate the emergency) or if arrangements have been made with the
instructor before the original date of the exam. The final exam cannot be made up.
Technology
Blackboard: Data files, guided notes, slides, and other resources will be posted to Blackboard.
Calculator: Each student will need a scientific calculator (TI 84/83 is recommended) for class and exams.
Bring your calculator to each class meeting. Cell phone calculators will not be permitted for use on exams.
Software: We will be using the software that accompanies the text, Statkey. You can access the software
at http://lock5stat.com/statkey/index.html
Minitab which can be installed using Blackboard will also be used.
General Education Statement
This course satisfies the general education requirement for Mathematics/Quantitative Literacy. More
information about General Education Requirements can be found at:
http://www.csuohio.edu/academic/gened/
Mathematical Assistance Center
Assistance for this mathematics course may be obtained by consulting with the Mathematics Learning
Center

MLC hours are as follows:
Monday-Thursday
9:00 am - 8:00 pm
Friday
9:00 am - 4:00pm
Saturday
10:00 am - 2:00 pm
For further information on Math Learning Center, please contact 216 687 4543. No appointment is
necessary to use MLC’s services.
(http://www.csuohio.edu/sciences/dept/mathematics/learning_center.html)
Dropping
The last day to drop with full refund: January 16, 2015
The last day to drop: January 23, 2015
Course withdrawal period begins- “W” grade assigned: January 24, 2015
The last day to withdraw from courses: March 27, 2015
***Note, for the purposes of financial aid, it is recommended that you consult with your college advisor or
Campus411 before dropping a course.
Disabilities Statement
Students with disabilities which may affect their ability to complete course requirements in this class may
request appropriate accommodations by registering with the Office of Disability Services at (216) 687-2015
in Main Classroom 147 and discussing the nature of their situation.
(http://www.csuohio.edu/offices/disability/)
Retention of Graded Work
I strongly suggest that students retain all graded work from the course until the end of the semester and
final grades are posted. This way if a discrepancy arises between a recorded grade and the actual grade, we
have the actual document to examine in order to rectify the situation. Additionally, graded work makes for
excellent study materials for upcoming exams.
Tentative Schedule
Week
1
Date
Jan. 12
Jan. 14
(LAB)
2
3
Jan. 19
Jan. 21
(LAB)
2.2 One Quantitative Variable: Shape & Center
StatKey/Minitab/TI83
2.3 One Quantitative Variable: Measures of Spread
StatKey/Minitab/TI83
Jan. 26
2.4 Outliers, Boxplots, & Quantitative/Categorical Relationships
Quiz 2 (2.1,2.2,2.3)
2.4 Outliers, Boxplots, & Quantitative/Categorical Relationships
StatKey/Minitab/TI83
2.5 Two Quantitative Variables: Scatterplot and Correlation
StatKey/Minitab
2.6 Two Quantitative Variables: Linear Regression
StatKey/Minitab
11.1 Probability Rules
Quiz 3 (2.4,2.5,2.6)
11.2 Tree Diagrams and Bayes’ Rule
11.3 Random Variables and Probability Functions
11.4 Binomial Probabilities
Quiz 4 (11.1,11.2,11.3)
Exam 1 (Chapters 1, 2, and 11)
Jan. 28
(LAB)
4
Feb. 2
5
Feb. 4
(LAB)
Feb. 9
6
Feb. 11
(LAB)
Feb. 16
Feb. 18
(LAB)
7
Feb. 23
Feb. 25
(LAB)
8
Topics
Review syllabus
1.1 The Structure of Data
1.2 Sampling from a Population
1.3 Experiments and Observational Studies
2.1 Categorical Variables
StatKey/Minitab
Quiz 1 (1.1,1.2,1.3)
No Class Monday Jan. 19th MLK Day
March 2
March 4
(LAB)
March 9 & March 11
No Class Monday February 16th Presidents’ Day
3.1 Sampling Distributions
StatKey/Minitab
3.2 Understanding and Interpreting Confidence Intervals
StatKey/Minitab
3.2 Understanding and Interpreting Confidence Intervals
StatKey/Minitab
3.3 Constructing Bootstrap Confidence Intervals
StatKey/Minitab
Quiz 5(3.1,3.2)
3.4 Bootstrap Confidence Intervals using Percentiles
StatKey/Minitab
4.1 Introducing Hypothesis Tests
4.2 Measuring Evidence with p-values
4.3 Determining Statistical Significance
Quiz 6(3.3,3.4,4.1)
4.4 Creating Randomization Distributions
StatKey/Minitab
4.5 Confidence Intervals and Hypothesis Tests
StatKey/Minitab
No Classes: Spring Recess March 8th through March 15th
9
March 16
March 18
(LAB)
10
March 23
11
March 25
(LAB)
March 30
April 1
(LAB)
12
April 6
April 8
(LAB)
13
April 13
April 15
(LAB)
14
April 20
April 22
(LAB)
15
April 27
April 29
(LAB)
16
May 4
May 6
(LAB)
5.1 Normal Distributions
Quiz 7(4.2,4.3,4.4,4.5)
5.1 Normal Distributions
StatKey/Minitab/TI83
5.2 Confidence Intervals & P-values using Normal Distribution
StatKey/Minitab/TI83
5.2 Confidence Intervals & P-values using Normal Distribution
Quiz 8(5.1,5.2)
Exam 2 (Chapter 1, 2, 3, 4, 5, and 11)
6.1 Distribution of a Sample Proportion
StatKey/Minitab
6.2 Confidence Interval for a Single Proportion
6.2 Confidence Interval for a Single Proportion
StatKey/Minitab
6.3 Test for a Single Proportion
StatKey/Minitab
6.4 Distribution of a Sample Mean
StatKey/Minitab
Quiz 9(6.1,6.2,6.3)
6.5 Confidence Interval for a Single Mean
StatKey/Minitab
6.6 Test for a Single Mean
StatKey/Minitab
6.7 Distribution of Differences in Proportions
StatKey/Minitab
Quiz 10(6.4,6.5,6.6)
6.8 Confidence Interval for a Difference in Proportions
StatKey/Minitab
6.9 Test for a Difference in Proportions
StatKey/Minitab
6.10 Distribution of Differences in Means
StatKey/Minitab
Quiz 11(6.7,6.8,6.9)
6.11 Confidence Interval for Difference in Means
StatKey/Minitab
6.12 Test for a Difference in Means
StatKey/Minitab
6.13 Paired Difference in Means
Quiz 12(6.10,6.11,6.12)
Final Exam Review
FINAL Exam: Exam 3 (Chapters 1, 2, 3, 4, 5, 6, 11)
No class finals week
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