COURSE OBJECTIVES & CONTENT
The main objective of this course is to provide a statistical background that would help MSc Urban Planning students in their quantitative analysis be it in other courses in their major, in projects they may undertake during their study or in the future, or in their theses.
This will be achieved by introducing basic statistical background and concepts, as well as intermediate and advanced topics including multiple regression and Geostatistical analyses. All topics will include handon exercises using SPSS statistical package to address issues pertaining to the urban planning profession.
The students will be given the chance to apply the quantitative and statistical methods and techniques they learned during the class in their fields of interests through full projects. These projects will include the development of carefully considered logical and quantitative argument by using their own data for description, estimation, comparison and explanation.
INTENDED LEARNING OUTCOMES (ILOs)
By the end of the class, students will be able:
GRADING
Item 
Description 
Percent 
Assignments 
3 to 5 shortterm assignments 
20% 
Midterm 
Covers materials up to 8^{th} or 10^{th} week 
20% 
Final Exam 
Project and presentation: 30% 
60%: 
Written exam: 30% 
TENTATIVE COURSE SCHEDULE
Main Topic 
Subtopic 
No. of Weeks 
Introduction 
Course Outline Introduction 
1 Week 20/01 – 26/ 01 
Descriptive Statistics 
Introduction to Descriptive Statistics Frequency Distribution Graphical Representations Measures of Central Tendency 
2 Weeks 27/01 – 09/02 
Introduction to Probability and the Normal Distribution 
Probabilities & Discrete Distributions The Normal Probability Distribution Sampling Distribution 
2 Weeks 10/02 – 23/02 
Introduction to Experimental Research 
A Brief Introduction to Experimental Research Hypothesis Testing Type I and Type II Errors Samples and Populations Sampling Errors 
2 Weeks 24/02 – 09/03 
First Exam 

Oneway and Twoway Analysis of Variance 
Withingroups Variance Betweengroups Variance Oneway ANOVA Twoway ANOVA 
2 Weeks 10/03 – 23/03 
Linear Regression 
Linear Regression Predicting from the Regression Line Correlation Coefficients Interpreting Correlation Coefficients 
2 Weeks 24/03 – 06/04 
Multiple Regression 
Partial Correlation Semipartial Correlation Overlapping Variance Type I and Type II Errors in Multiple Regression 
2 Weeks 07/04 – 20/04 
A Brief Introduction to Geostatistical Analysis 
Fundamentals of Geostatistical Analysis Selected applications of Geostatistics using ArcGIS 
2 Weeks 21/04 – 27/04 
Project Presentations 
1 Week 28/04 – 04/05 

Final Exam 
Textbook:
Moore, S. David; McCabe, P. George and Craig A. Craig (2009). Introduction to the Practice of the Statistics, Sixth Edition. W. H. Freeman and Company, New York.
ASSIGNMENTS
Descriptive Statistics Analysis (at least One assignment)
Students are to collect data and apply all descriptive statistics they will have already learned in the class. Data sets to be collected must be about urban planning issues.
Paper Review (at least Two assignments):
Students are to do at least two paper review assignments. In the first one, students will be required to summarize the descriptive statistics in THREE carefully selected journal articles from the students’ fields of interests within the urban planning major. In the second assignment, students are to review ONE full paper in which the author used multiple regression analysis.
In both assignments, students are to prepare power point presentations and share their results with their colleagues during the class.
Hints on Paper Review Assignments:
In these assignments students are expected to answer the following questions:
FINAL PROJECT
Project Description:
As part of the class, you are required to work on your own project. The project aims in the first place to give you the kind of insight and experience in realistic statistical practice that cannot be obtained in classroom lectures or shortterm homework assignments. You are to pick a subject that interests you from the urban planning field, and to collect the required data, which can be either primary or secondary.
The project should be designed such that students will gain the experience of how to plan, execute, analyze the data and interpret the results of a severalfactor experiment. Choose your subject so that the factors involved are fundamentally quantitative and your dependent variable (y) is a continuous measurement, so that the multiple regression analysis can be used in data modeling and analysis. At least four different independent variables (x) should be included in your regression model. More details will be discussed by the end of the semester.
Report Contents and Organization:
• Your report should be:
o Typed in English;
o Font type: Times New Romans;
o Font size: 12 pnt;
o Spacing: double;
o Paper size: A4
• Properly cited
• Supplemented with descriptive graphs including:
o If your project includes maps, they should be with suitable and clear colors, appropriate symbology, labels, title, legend, north arrow, scale bar………etc.
o Diagrams, pie charts, bar charts, tables, …………………etc. with appropriate titles and clear description inside your document.
• Organized as follows:
Ø Title page
Ø Table of contents
Ø Introduction: problem definition, welldefined research question(s) and hypotheses
Ø Literature review
Ø Methodology (DON’T forget to talk about the data collection techniques you followed …………..etc.)
Ø Analysis Results and Discussion
Ø Conclusions and Recommendations
Ø References
Materials to be submitted:
1) Final Report printed on A4 and should be colored and organized as mentioned above;
2) A CD including the following items: the final report in PDF format, final presentation, input data, output data, final maps and charts.
PRESENTATIONS
1) Midpoint Presentation: in this presentation you should answer the following questions:
ð What you want to do
ð How you will do it (flowchart)
ð Where you are at this point
2) Final Presentation