This course gives an introduction to the basic concepts and techniques of statistical inference. Students will learn the basic principles of data collection, and how to explore patterns in data by means of descriptive statistics and graphs. Furthermore, the course provides an introduction to the quantitative analysis of data by means of point estimates, confidence intervals, statistical tests on means, and regression analysis.
After the course, students should be able to:
Examine patterns in data graphically and quantitatively;
Relate the mode, median, mean, variance, standard deviation, and skewedness, to the shape of a distribution;
Formulate and test hypotheses on the mean of a single population, and interpret the outcomes.
Formulate and test hypotheses on the means of two populations, and interpret the outcomes.
Perform a simple linear regression analysis and be able to interpret the results.
Once available, timetables will be published here.
Mode of instruction
Lectures and computer labs with R.
In-class participation: 10%
Quizzes: 30% (start of session 1 in weeks 2 to 7)
Lab assignments: 20% (session 2 in weeks 1 to 7)
Final, written exam with essay questions: 40% (week 8)
There will be a Blackboard site available for this course. Students will be enrolled at least one week before the start of classes.
The section offered in Block 1 of 2016-2017 will use the following textbook:
- Introductory Statistics with Randomization and Simulation, David M. Diez, Christopher D. Barr, Mine Çetinkaya-Rundel. This textbook can be downloaded for free at the website: www.openintro.org. Please make sure you choose the right book!
The sections offered in Block 3 of 2016-2017 will use the following textbook:
- Open Intro Statistics, 2015 (3rd edition), David M. Diez, Christopher D. Barr, Mine Çetinkaya-Rundel. This textbook can be downloaded for free at the website: www.openintro.org. Please make sure you choose the right book!
This course is open to LUC students and LUC exchange students. Registration is coordinated by the Curriculum Coordinator. Interested non-LUC students should contact email@example.com.
Dr. P. Haccou (convener): firstname.lastname@example.org