Admission requirements
This course is only available for students in the BA Urban Studies programme. Students need to have passed Introduction to Methodology.
Description
In this course students’ knowledge of probability theory will be refreshed and applied to the statistical tests used most frequently in urban studies and other disciplines. The aim is for students to understand the following concepts: sampling distribution; statistical reliability; hypothesis testing; the principles and procedures for the various significance tests. Students should be able to select, perform, and report the results of an appropriate test. Students will acquire skills in working with statistical software used for these tests.
Course objectives
Introduction to inferential statistical procedures by examining the general theory of hypothesis testing and describing specific concepts as they apply to all hypothesis tests.
Introduction to the concept of probability, its rules, and applications.
Introduction of the chi-square test for testing hypotheses using categorical, count, or frequency data.
Introduction of the t-test for testing hypotheses about means and proportions for one-sample designs.
Introduction of the t-test for testing hypotheses about means and proportions for two-sample designs.
Introduction of the estimation of magnitude of differences between means, the calculation and interpretation of effect sizes and the introduction of the concept of power of a statistical test.
Timetable
The timetables are available through My Timetable.
Mode of instruction
On-Campus meetings (compulsory attendance) 2 hour workgroups covering problems, theory, and skills (max 12 students per group).
On-Line meetings (compulsory attendance) 1 hour workgroups covering problems and theory (max 6 students per group). 1 hour workgroup covering skills (no maximum per group).
e-Learning modules
Assessment method
Assessment
Weekly assignments covering theory and skills;
Two home assignments covering theory, statistical tests, and skills from the literature, e-learning modules, computer practice, and online meetings;
An exam covering theory, statistical tests, and skills from the literature, e-learning modules, computer practice, and online meetings.
Weighing
| Partial grade | Weighing |
|---|---|
| Home assignments | 20 |
| Exam | 80 |
End grade
To successfully complete the course, please take note that the end grade of the course is established by determining the weighted average of all assessment components.
Resit
If the end grade is insufficient (lower than 5.5), or the exam grade is lower than 5.0, or the home assignment grade is lower than 5.0, there is a possibility of retaking one home assignment or the exam, replacing one home assignment grade or the exam grade, respectively.
Faculty regulations concerning participation in resits are listed in article 4.1 of the Faculty Course and Examination Regulations.
Feedback and inspection
How and when an exam review will take place will be disclosed together with the publication of the exam results at the latest. If a student requests a review within 30 days after publication of the exam results, an exam review will have to be organised.
Reading list
See Brightspace.
Registration
Enrolment through uSis is mandatory.
Students will be enrolled for Exams by the Administration Office, as long as they have a valid Tutorial enrolment.
General information about uSis is available on the website
Contact
For substantive questions, contact the lecturer listed in the right information bar.
For questions about enrolment, admission, etc, contact the Education Administration Office: Student Affairs Office for BA Urban Studies
Remarks
Please take a look at Brightspace for the latest information (entry requirements, meetings, attendance, materials, overview, load, grading, resits, contact, etc.) on the course.