Admission requirements
Required course(s):
None.
Description
Whether you realize it or not, statistics is a part of your everyday life. Increased awareness and literacy in statistics provides the opportunity to be a more informed citizen and consumer, a more critical analyst of research, and creates opportunities for more effective communication with data. This course is meant to improve your ability to understand and communicate with data that matters in the real world, as well as critically reflect on the limitations and challenges of data analysis and its social impact. You will need to apply these careful and reflective data analysis skills in other courses during your education at LUC and perhaps even in your everyday life now and in the future. Whether you have had a statistics course before or whether the concepts are new to you, this course is an opportunity to develop your skills to understand presented data, as well as effectively communicate and analyzing data using statistical techniques.
The course assumes no prior knowledge of statistics, but participants who are less confident about their mathematical skills or less familiar with basic statistics should plan to spend additional time preparing for class using posted videos and readings.
Course Objectives
After successful completion of this course, students are able to:
Knowledge:
Understand the options for describing and presenting data
Understand basic principles of statistical inference
Critically reflect on the power and limitations of data analysis
Skills:
Apply statistical reasoning to real world examples
Effectively summarize data using descriptive statistics, tables, and graphs
Interpret and critically evaluate presentation of data and analysis in graphs and tables
Perform basic data description and analysis using the R software environment
Timetable
Timetables for courses offered at Leiden University College in 2022-2023 will be published on this page of the e-Prospectus.
Mode of instruction
The course will involve interactive sessions to practice interpreting, analyzing, and displaying data from real world examples. Most of the conceptual learning will be done though online videos and readings. This learning will be reinforced through its application in in-class activities and discussions, which means that it is vital that students come to class prepared. We will also have interactive lab sessions outside of class time to practice running analysis in the R software environment.
Assessment Method
Weekly quizzes, partially based on problem sets – 20%, Weeks 2-7 (Learning outcomes 1, 2, 3, 5)
R Lab assignments – 15%, Weeks 1-6 (Learning outcomes 4, 5, 6, 7)
Midterm exam – 20%, Week 4
Group project – 10%, Week 7 (Learning outcomes 4, 5, 6, 7)
Final exam – 35%, Week 8 (Learning outcomes 1 - 7)
Reading list
The required textbook is:
- Foster, Liam; Diamond, Ian; and Jefferies, Julie. 2015. Beginning Statistics: An Introduction for Social Scientists. 2nd edition. SAGE.
Additional readings and videos will be posted on the Brightspace page.
Registration
Courses offered at Leiden University College (LUC) are usually only open to LUC students and LUC exchange students. Leiden University students who participate in one of the university’s Honours tracks or programmes may register for one LUC course, if availability permits. Registration is coordinated by the Education Coordinator, course.administration@luc.leidenuniv.nl.
Contact
Dr. Kristin Makszin, k.m.makszin@luc.leidinuniv.nl
Remarks
Preparation for first session:
Check Brightspace for videos and readings
Read the syllabus.