COURSE SYLLABUS
PADM 6110 Statistics for Public Administrators
Fall 2015
Professor: Kyujin Jung, Ph.D.
Phone: 615-963-7251 (office)
Office: TSU Avon Williams Campus, Room 411 / Email: [email protected]
In Office hours: Wednesday & Thursday 12:00 to 5:00 PM, online by skype (kj2y2h) or by appointment
If you need help, E-MAIL or CALL/TEXT me as soon as you have problems, DO NOT WAIT.
DO NOT USE the Email in eLearn because the reply does not get back to you in a timely fashion.
Make sure you email me at [email protected]
A. Course Description and Objectives
This course is systemically designed to provide students of Public Administration an understanding of the
processes and criteria for quality research, the ability to critically evaluate other’s research and to obtain basic
statistical knowledge to produce your own data and research findings. These skills are necessary to effectively
navigate the vast quantities of data available for use in evaluating and improving public programs in real world
situations. Students are expected to commit themselves to an intensive reading and home study schedule. The
course objectives are:
1. To give you an understanding of basic statistical concepts and data analytical procedures relevant
to public administration;
2. To give you practical applications of statistical concepts that you can use when managing in the
public sector.
It is assumed that each student will come prepared for the class sessions; that means you should have read the
assignments, prepared yourself for a competency examination, and a discussion of method real world relevancy.
At the completion of this course the student will have the following competencies:
 Use decision tools to make data-driven evaluation and policy choices
 Employ statistical methods appropriately
 Apply statistics to novel problems and produce research in written format
 Describe the challenges of and criteria for proper data collection and maintenance
 Distinguish between different statistical approaches to decision making
 Identify the decision tools appropriate for different situations
 Prepare communications– both written and oral–in appropriate medium and depth for diverse audiences
and stakeholders
B. Required Texts:
1. Szafran, R. Answering Questions with Statistics. (2012) Sage. ISBN 978-1-4129-9132-2
2. SPSS software package. You can buy it online OR you can use the laboratory computers.
REQUIRED DATA SET
GSS 2014 merged with all cases and variables (Release 2, July 31, 2015) dataset from the General Social Survey
located at http://www3.norc.org/GSS+Website/Download/SPSS+Format/
ADDITIONAL REQUIRED READINGS
Any additional readings will be posted in the course content section of eLearn under the appropriate week.
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The syllabus is a contract between you, the student and me, the professor. The due dates on the syllabus for
assignments are non-negotiable. You can turn in assignments early but not late. If the assignments are not in the course
Dropbox or presented in the discussion boards on the due date, you will receive a zero. If you do not take the Midterm,
you will receive a zero. I will on a case-by-case basis (critical illness, death, birth, and job crisis) accept an emailed
assignment, as long as you contact me to make arrangements prior to the close of the Dropbox for email submission
approval.
Grading Scale
90 -100
80 - 89
70 - 79
60 - 69
Below 60
=A
=B
=C
=D
=F
There will be no curve and the grade you earned is the grade you will receive. If you are less than 1 point off from the
higher grade I will round up; otherwise you will receive the lower grade (i.e. 79 is 1 point below the B and would be a B,
however, 78.75 is 1.25 points below the B and would be a C).
Evaluation
Your final grade will be based on 9 Homework Assignments, 2 In Class Presentations, a Midterm, and a Written
Presentation of your final data set analysis.
HOMEWORK (120 points)
H1: Write a Research Question and Null Hypothesis
10 points
H2: Frequency Table, Pie Chart and histogram
10 points
H3: Your Data Set Construction # 1
10 points
H4: Calculation of Z-Score
10 points
H5: Calculation of Relationships
10 points
H6: Data Set Construction # 2
20 points
H7: Interpretation of Article
30 points
H8: Final Data Analysis
25 points
EXAMINATIONS (100 points)
Quiz 1
50 points
Quiz 2
50 points
IN CLASS (30 points)
5 min ‘Test’ of the Research Idea
5 points
Oral Presentation of Final Data Set Analysis
25 points
FINAL PAPER (50 points)
Written Research Results Paper
50 points
TOTAL
300 points
HOMEWORK (H) ASSIGNMENTS (125 pts)
It is expected that the reading assignments are read on a weekly basis because they will help with the application of the
statistics to solve real world organizational problems. It is assumed that each student will have read the assignments
and be prepared for class weekly. If the assignments are not in the course Dropbox or presented in Class on the due
date, you will receive a zero. The expectations for each assignment are as follows:
IC: 5 minute ‘Test’ of the Research Idea, H1, H3, H6, H8 build upon each other to set up the correct analysis, create the
data set, and perform the analysis to obtain the final results that you will present to the class and use in your final
research paper. If you miss one of these assignments, you will have to complete it before you try the next in the
series or your final results will not make sense.
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REQUIREMENTS:
IC: 5 minute ‘Test’ of the Research Idea (5 points)
You will have 5 minutes to present your research proposal and to ask the class to critique (5 minutes) your idea.
This should help you focus your thoughts regarding your research idea and after this discussion you may change
your mind about what topic you are going to choose. This will be timed. Presentation in class on Thursday
September 3, 2015
H1: Write a Research Question and Null Hypothesis (10 points)
You will be performing an original research project from conceptualization, data collection, data analysis to
discussion of the results. You need to come up with a research topic and an idea for a project. How do you do
this? You read the literature in the area you are interested in, look for gaps (‘wouldn’t it be nice to knows’) and
then determine a topic.
1. You must choose at least 10 units of analysis for your sample-States, Cities, Counties, Regions, Schools,
Hospitals, etc… (e.g. If you choose STATES---purposively pick by region southeast v southwest, east v
west, or pick states randomly, purposively pick urban v rural) your choice—there are lots of other ways
to choose your sample.
2. Next, where are you going to go to get the data? Start with the Statistical Abstract of the United States
(data goes back to 1878 on many different topics) and the US Census. You can also use FedStats to
point you in the direction you want to go, there is lots of agency data (crime, transportation, health,
agriculture, education, etc…). There is lots of data out there, you don’t have to use the three examples I
gave you. Many states collect data, so do foundations, you will be able to find data sets in many
places—BUT you need to justify the validity of your data, where did you get it and why do you think the
data is accurate.
3. What variables do you think are important to answer your research questions? (don’t go nuts here-pick
only a few, 5 is minimum)
The first step in any research project is to write clear Research Questions. Because this is a Statistical Analysis
Course, you will be required to write at least 1 Descriptive and 1 Inferential Research Question (RQ). You can
write more. The Descriptive RQ will not have Hypothesis but the Inferential RQ will. The RQ and Hypothesis will
drive your analysis, determine the type of data you will need to collect and what statistics you will eventually
perform for your final analysis. DUE in the Dropbox by Monday September 7, 2015 at 12:00 am.
H2: Frequency Table, Pie Chart and Histogram (10 points)
Download the GSS 2014 merged with all cases and variables (Release 2, July 31, 2015) dataset from the General
Social Survey located at http://www3.norc.org/GSS+Website/Download/SPSS+Format/ Printout a Frequency
Table and Pie Chart for the variable Respondent’s Highest Degree and a Frequency Table and Histogram for the
variable Respondent’s occupational prestige score.
DUE in the Dropbox by Monday September 14, 2015 at 12:00 am.
H3: Your Data Set Construction # 1 (10 points)
You will build an SPSS dataset with at least 5 variables for 10 different Units of Analysis (can be states, Cities,
Counties, Schools, Hospitals, etc…) of your choice so you can perform a statistical analysis. How are you going to
build your data set? (i.e. what will be columns and what will be rows??) How are you going to order your
sample, by regions? By population? By some other variable?? You can choose to do a longitudinal or crosssectional study; however, the data set needs to reflect your decision. You can choose to group your units of
analysis (region, SES, Tax rate, etc…); again the decision is yours. You will have time in class to discuss the
possible ways to run the data analysis and complete the assignment, but it will be up to you to construct the
data set. For this assignment, you need to turn in the data set shell with the variables defined correctly in the
SPSS variable view. DUE in the Dropbox by Monday September 21, 2015 at 12:00 am.
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H4: Calculation of Z-Score (10 points)
How many hours did you work in last week? Take your number of hours and compare it to the people in the
General Social Survey 2014 (use Variable hrs2= NUMBER OF HOURS USUALLY WORKED LAST WEEK) Calculate a z
score for your answer by using SPSS. DUE in the Dropbox by Monday September 28, 2015 at 12:00 am.
H5: Calculation of Relationships (10 points)
Use the General Social Survey 2014 to determine relationships between the following variables: marital status
and number of children; income and highest degree; consider self a religious person and how often does
respondent pray; and the final one is your choice- whatever two variables you are interested in. Submit a word
document with your results in a table (DO NOT JUST CUT AND PASTE THE SPSS OUTPUT) and your interpretation
of the results. DUE in the Dropbox by Monday October 19, 2015 at 12:00 am.
H6: Data Set Construction # 2 and Research Questions (20 points)
This assignment is to assure that you are making progress in collecting and entering the data (you will have at
least 50 items to enter in your data set to meet the minimum requirements for the course). Thus, all the
variables need to be defined correctly in the SPSS variable view, the Research Questions/ Hypothesis are
completed, and at least half of the data is entered into the dataset. For this assignment, you need to turn in the
SPSS dataset and a word document with your Research Questions/ Hypothesis. DUE in the Dropbox by
Monday October 26, 2015 at 12:00 am.
H7: Analyzing a Peer-reviewed Article (30 points)
Read any a peer-reviewed article with quantitative analyses in the journal “Public Administration Review” or
the folder “Additional readings”, and then answer the following questions.
1. What is the research question?
2. What is the null hypothesis that was tested?
3. What statistical test was run?
4. Why was this particular analysis performed?
5. What are the results (list the actual numbers)?
6. What do the results mean (interpretation and practical significance)?
Turn in a word document with your responses in sequential order (make sure if you skip one you state skip).
Bonus: if you choose, you can turn in up to 2 more for extra credit). DUE in the Dropbox by Monday
November 16, 2015 at 12:00 am.
H8: Final Data Set Analysis (25 points)
The Final Data Set Analysis will be performed on the data set you constructed. Present your research questions
and hypotheses and then try to answer the questions or hypothesis using appropriate statistical methods (e.g.
the methods need to match the questions). You will be graded on the quality of the research questions, the
statistical method you choose and the actual SPSS outputs. You will turn in a word document containing the
research questions and a justification of what statistical tests you ran to answer each question, and your SPSS
output. DUE in the Dropbox by Monday November 23, 2015 at 12:00 am.
IC: Oral Presentation (25 points)
Your presentation should be around 10 minutes and there will be a 5 minute discussion period after each
presentation. The presentation will be timed. You do not have to use Power Point, it is up to you but if you are
going to present complex numbers, statistics, data, you are probably going to want to create a handout so your
colleagues can follow you. Make sure you practice the timing of your presentation. Edit what you have to say, main
points only, you can expand your thoughts in the written paper. Use the discussion period to ask your colleagues
questions and test out what you think the analysis is telling you. Many times statistical analysis can be hard to
interpret because there are conflicting results, not enough power, dirty data, confounding variables, etc. . . After
the oral presentation, you may find yourself refining and possibly adding another test or variable. If you do the oral
presentation right, your final paper will virtually write itself. Your colleagues and I will be evaluating your
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presentation and you will receive written (anonymous except for me) evaluations of your presentation. This is done
for 2 reasons: 1-to help you become a better speaker and 2-to give you feedback to help you complete the research.
The evaluations will be available for pick up at the CPSUA front desk the day after your presentation. DUE in class
on either November 29, or December 6, 2012. Everyone’s name will be placed in a hat and names pull out
randomly to determine order of speaking. If you do not attend both presentations an automatic one letter grade
deduction will be made. If your name is called and you are not in the classroom, you will receive a 0 (zero) for the
presentation.
FINAL PAPER: Written Research Results Paper
The paper format should follow the style guidelines in the Chicago Manual of Style, 16th edition, using the Author
Date method of citing and referencing. Specific questions about style issues can be addressed at:
http://www.chicagomanualofstyle.org/tools_citationguide.html
All portions of the manuscript must be typed double-spaced and all pages numbered starting from the title page.
1 The Title should be a brief phrase describing the contents of the paper. The Title Page should include the
authors' full names and affiliations, the name of the corresponding author along with phone, fax and E-mail
information. Present addresses of authors should appear as a footnote.
2 The Abstract should be informative and completely self-explanatory, briefly present the topic, state the scope of
the experiments, indicate significant data, and point out major findings and conclusions. The abstract should a
maximum 200 words in length. Complete sentences, active verbs, and the third person should be used, and the
abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should
be avoided. No literature should be cited.
3 Following the abstract, about 3 to 10 key words that will provide indexing references should be listed.
4 A list of non-standard Abbreviations should be added. In general, non-standard abbreviations should be used
only when the full term is very long and used often. Each abbreviation should be spelt out and introduced in
parentheses the first time it is used in the text.
5 The Introduction should provide a clear statement of the problem, the relevant literature on the subject, and
the proposed approach or solution. It should be understandable to colleagues from a broad range of scientific
disciplines.
6 Materials and Methods should be complete enough to allow experiments to be reproduced. However, only
truly new procedures should be described in detail; previously published procedures should be cited, and
important modifications of published procedures should be mentioned briefly. Capitalize trade names and
include the manufacturer's name and address. Subheadings should be used. Methods in general use need not be
described in detail.
7 Results should be presented with clarity and precision. The results should be written in the past tense when
describing findings in the author(s)' experiments. Previously published findings should be written in the present
tense. Results should be explained, but largely without referring to the literature. Discussion, speculation and
detailed interpretation of data should not be included in the results but should be put into the discussion
section.
8 The Discussion should interpret the findings in view of the results obtained in this and in past studies on this
topic. State the conclusions in a few sentences at the end of the paper. The Results and Discussion sections can
include subheadings. It is strongly encouraged that implications for practitioners be included in the Discussion.
9 Tables should be kept to a minimum and be designed to be as simple as possible. Tables are to be typed doublespaced throughout, including headings and footnotes. Each table should be on a separate page, numbered
consecutively in Arabic numerals and supplied with a heading and a legend. Tables should be self-explanatory
without reference to the text. The details of the methods used in the experiments should preferably be
described in the legend instead of in the text. The same data should not be presented in both table and graph
forms or repeated in the text. Tables should be prepared in Microsoft Word. Use Arabic numerals to designate
figures and upper case letters for their parts (Figure 1). Begin each legend with a title and include sufficient
description so that the figure is understandable without reading the text of the manuscript. Information given in
legends should not be repeated in the text.
10 References: In the text, a reference identified by means of an author‘s name should be followed by the date of
the reference in parentheses. When there are more than two authors, only the first author‘s name should be
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mentioned, followed by ’et al‘. In the event that an author cited has had two or more works published during
the same year, the reference, both in the text and in the reference list, should be identified by a lower case
letter like ’a‘ and ’b‘ after the date to distinguish the works. References should be listed at the end of the paper
in alphabetical order according to APA style. Articles in preparation or articles submitted for publication,
unpublished observations, personal communications, etc. should not be included in the reference list but should
only be mentioned in the article text (e.g., A. Kigori, Tennessee State University, Nashville, TN, personal
communication). Authors are fully responsible for the accuracy of the references. There are great tutorials
available on the APA website (http://www.apastyle.org/ ).
DUE in the Dropbox by Friday December 11, 2015 at 12:00 am.
Quizzes (100 points)
There will be 2 quizzes that will be administered online. You have the entire week to complete each quiz. It is
your responsibility to have the quiz completed by 12:00 am Monday at the end of the week.
Additional Important Information
Plagiarism will not be tolerated. The university allows instructors the right to assign a failing grade to any work
which violates the rules of academic integrity. All work must be yours, and any sources must be appropriately
cited. Review the definition of plagiarism at: http://www.plagiarism.org/ If you are caught cheating or
plagiarizing you will receive a zero for that assignment.
Incompletes. An incomplete will only be given if ~ 80% of the course work has been satisfactorily completed and
the student is unable due to an unexpected personal emergency to turn in the final 20% of the course work by
the course completion date.
Student grievances. Students with questions, disagreements concerning coursework, availability of the
instructor or other course related issues should talk to the instructor first. If the student has talked to the
instructor and has not found resolution to the problem, s/he may then approach the department chair. This
procedure provides a fair route for grievance resolution that will be acceptable to the instructor, the student,
and other students in the class.
eLearn. All written assignments are submitted ONLINE via eLearn. Remember that if the www.tnstate.edu
website is down, you should try to access eLearn directly at https://elearn.tnstate.edu The Help Desk phone
number is 615-963-1239. It is not the Professor’s responsibility to teach you how to use eLearn, thus it is the
student’s responsibility to learn the university’s software tool. If there is a systemic problem with e-Learn, it is
your responsibility to contact the Professor BEFORE the DEADLINE to make arrangements to turn in your
assignment in another electronic format. The professor is not responsible for assuring that the eLearn system is
functional at the due date time, so it is strongly suggested that you turn in your dropbox assignments in
advance.
DISABILITY ACCOMMODATION STATEMENT
TSU is committed to creating inclusive learning environments and providing all students with opportunities to
learn and excel in their course of study. Any student with a disability or condition which might interfere with
his/her class performance or attendance may arrange for reasonable accommodations by visiting the Office of
Disability Services (ODS). ODS is located in Kean Hall, room 131 and can be reached at 963-7400 or
www.tnstate.edu/disabilityservices . You will be required to speak with ODS staff and provide documentation of
the need for an accommodation. If you qualify for an accommodation you will be provided with a document
stating what type of classroom accommodations are to be made by the instructor. It is your responsibility to
give a copy of this document to the instructor as soon as you receive it. Accommodations will only be provided
AFTER the instructor receives the accommodation instructions from ODS; accommodations are not retroactive.
You must follow this process for each semester that you require accommodations.
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SEXUAL MISCONDUCT, DOMESTIC/DATING VIOLENCE, STALKING
TSU recognizes the importance of providing an environment free of all forms of discrimination and sexual
harassment, including sexual assault, domestic violence, dating violence, and stalking. If you (or someone you
know) has experienced or is experiencing any of these incidents, there are resources to assist you in the areas of
accessing health and counseling services, providing academic and housing accommodations, and making
referrals for assistance with legal protective orders and more.
Please be aware that most TSU employees, including faculty and instructors, are “responsible employees”,
meaning that they are required to report incidents of sexual violence, domestic/dating violence or stalking. This
means that if you tell me about a situation involving sexual harassment, sexual assault, dating violence,
domestic violence, or stalking, I must report the information to the Title IX Coordinator. Although I have to
report the situation, you will still have options about how your situation will be handled, including whether or
not you wish to pursue a formal complaint. Our goal is to make sure you are aware of the range of options
available to you and have access to the resources you need. You are encouraged to contact TSU’s Title IX
Coordinator to report any incidents of sexual harassment, sexual violence, domestic/dating violence or stalking.
The Title IX coordinator is located in the Office of Equity and Inclusion, McWherter Administration Building, Ste.
260 and can be reached at 963-7494 or 963-7438. For more information about Title IX and TSU’s SART or
policies and procedures regarding sexual, domestic/dating violence and stalking please visit:
www.tnstate.edu/equity.
If you wish to speak to someone confidentially, who is not required to report, you can contact the TSU
Counseling Center, located in the basement of Wilson Hall, at 963-5611 or TSU Student Health Services, located
in the Floyd Payne Campus Center room 304, at 963-5084. You may also contact the following off campus
resources: Sexual Assault Center of Nashville at 1-800-879-1999 or www.sacenter.org or the Tennessee
Coalition to End Domestic & Sexual Violence at 615-386-9406 or www.tncoalition.org .
HARASSMENT & DISCRIMINATION
Tennessee State University is firmly committed to compliance with all federal, state and local laws that prohibit
harassment and discrimination based on race, color, national origin, gender, age, disability, religion, retaliation,
veteran status and other protected categories. TSU will not subject any student to discrimination or harassment
and no student shall be excluded from participation in nor denied the benefits of any educational program
based on their protected class. If a student believes they have been discriminated against or harassed because
of a protected class, they are encouraged to contact the Office of Equity and Inclusion at McWherter
Administration Building, Ste. 260, 615-963-7494 or 963-7438, www.tnstate.edu/equity.
November 6, 2015 is the last day to withdraw from this course.
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Schedule: Subject to change.
Week
Date
Module Topic
Reading
Assignments
Week 1
8/24 –
8/30
Class Introduction
Course Requirements
Research Methods Review
Szafran Preface
Turn in Class Participant
Information
IN CLASS—5 min ‘Test’ of the
Research Idea
Week 2
Week 3
8/31 –
9/6
Primary vs. Secondary Data
Scales of Measurement
Unit of Analysis
Szafran Ch 1 pp9-17
Szafran Ch 3
9/7 –
9/13
eLearn
Data sets
Appropriate Statistical Test
Szafran Ch 2
*Watch the you tube video introduction to SPSS at
https://www.youtube.com/watch?v=ADDR3_Ng5CA
https://www.youtube.com/watch?v=4CWeHF3Mn00
HOMEWORK 2
Frequency Table, Pie Chart and
histogram due in the course
Dropbox by Monday 9/14 at
12:00 am
HOMEWORK 1
Write your Research Question
and Null Hypothesis due in the
course Dropbox by Monday 9/7
at 12:00 am
9/14 –
9/20
Descriptive Statistics
Szafran Ch 4
HOMEWORK 3: Your Data Set
Construction # 1 due in the
course Dropbox by Monday 9/21
at 12:00 am
9/21 –
9/27
eLearn
Standard Scores
Transformed Standard Scores
Standard Scores and the Normal
curve
Z test for One Sample
Szafran Ch 5
*Additional Readings: Standard Scores at
http://statistics.laerd.com/statistical-guides/standardscore.php
*Watch the you tube video on z scores at
http://www.youtube.com/watch?v=A7uz_GHsZj8
HOMEWORK 4: Calculation of ZScore due in the course Dropbox
by Monday 9/28 at 12:00 am
Week 6
9/28 –
10/4
Comparing Groups
Crosstabs
Chi-Square
Szafran Ch 6
Szafran Ch 7 and 15
*Watch the you tube video on Chi Squares at
http://www.youtube.com/watch?v=Ahs8jS5mJKk
Prepare for Quiz 1
Week 7
10/5 –
10/11
eLearn
Quiz 1
Week 4
Week 5
Due in the course Dropbox by
Monday 10/12 at 12:00 am
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HOMEWORK 5: Calculation of
Relationships due in the course
Dropbox by Monday 10/19 at
12:00 am
10/12 –
10/18
Inferential Statistics
Szafran Ch 9 and 11
10/19 –
10/25
eLearn
Nominal and Ordinal measures of
association
Hypothesis testing t-test
Szafran Ch 8 and Ch 12
Watch you tube video on t-test at
https://www.youtube.com/watch?v=36PldkUpXH0
HOMEWORK 6: Data Set
Construction # 2 due in the
course Dropbox by Monday
10/26 at 12:00 am
Week 10
10/26 –
11/1
Pearson’s Correlation and Bivariate
Regression
Review of Sampling Distributions
and Normal Distribution
Szafran Ch 9 and 11
Prepare for Quiz 2
Week 11
11/2 –
11/8
eLearn
Quiz 2
Week 12
11/9 –
11/15
Factor Analysis
Index building
*Watch the you tube video at
https://www.youtube.com/watch?v=UYxboC27190
http://www.youtube.com/watch?v=S9TiniR1scU
HOMEWORK 7: Interpretation of
Article due in the course Dropbox
by Monday 11/16 at 12:00 am
Week 13
11/16 –
11/22
eLearn
Analysis of Variance
Quiz
Szafran Ch 13 and 14
*Watch you tube video on ANOVA at
http://www.youtube.com/user/bjwlsy#p/u/0/zq_AfC976n
Q
HOMEWORK 8: Final Data Set
Analysis due in the course
Dropbox by Monday 11/23
at 12:00 am
Week 14
11/23 –
11/29
Fall Break
Thanksgiving Holiday- no classes
Week 15
11/30 –
12/6
Oral Presentations
IN CLASS-Research Presentations
Week 16
12/7 –
12/11
FINAL Research Paper DUE Friday December 11, 2015 before 12:00 am.
Week 8
Week 9
Due in the course Dropbox by
Monday 11/9 at 12:00 am
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Class Participant Information
Name: ______________________________
Masters/PhD Student: _________________
Contact Information:
Working E-mail:________________________
Cell Phone:___________________________
Other Phone:__________________________
U.G. Major_______________ Masters Area: ____________
Topics you are interested in?
List Public Administration Courses Taken:
List Research Methods Courses Taken
Questions related to Class:
1. Are you a member of any professional or service organization?
2. Describe your professional experience or background that might be useful to instructor in relating
course material to you and/or in calling on your experience as a resource person in the class, e.g., job
positions held.
I have read and received a copy of the PADM 6110 Statistics for Public Administrators syllabus and I understand
the course requirements set forth in it.
__________________________________
Signature
Date