The content covered in this course ranges from elementary reminders in probability, through the construction of confidence intervals, hypothesis tests on param- eters such as the mean or the proportion. This last notion is extended to tests of comparisons of means between several populations with the one or two factor ANOVA.

The last part of the course is devoted to simple and multiple linear models for the prediction of a real numerical variable. A small digression on logistic regression is also discussed.

Lectures

The support of the different lectures are available on Brightspace.

Exercises and Practical Sessions

The following document contains the correction of each exercises done during the lab sessions

Mock Exam

In the following, you can find a mock exam associated to this course and its correction

• Mock Exam
• Correction