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Admissions requirements

None, this is a compulsory Year 1 course.


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.

In addition, the course gives an introduction to programming in R, and the use of this software for statistical analysis.

Course objectives

After the course, students should be able to:

  • Examine patterns in data graphically and quantitatively;

  • Relate the mode, median, mean, variance, standard deviation, and skewness, 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.

  • Write simple programs in R

  • Use R for statistical analysis


Once available, timetables will be published here.

Mode of instruction

Lectures and computer labs with R.


  • In-class participation: 5%

  • Quizzes: 30% (weeks 2 to 7)

  • Computer Lab assignments: 25% (weeks 1 to 7)

  • Final, written exam with short 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.

Reading list

Open Intro Statistics, 2015 (3rd edition) by: David M. Diez, Christopher D. Barr, Mine Çetinkaya-Rundel

This textbook can be downloaded for free at the website: 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


Dr. P. Haccou (convener):