TNIU66 · 6 credits · Basic level (G1F) · Matematik, Tillämpad matematik
Statistics and Probability
Active · next start VT 2027
51%
passed the latest ordinary exam
TEN1 · 25 Mar 2026 · 45 students
51%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 264 students
90%
Harder than 90% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 98 students.
Part of 3 programmes
Exam
TEN1 Written examination
- 5
- 4
- 3
- U
Ordinary exams
51% passed · 264 students
- 51%45
- 49%53
- 58%48
- 51%51
- 48%67
Re-exams
41% passed · 158 students
- 60%5
- 82%17
- 43%14
- 25%20
- 40%10
- 47%19
- 44%9
- 15%20
- 27%11
- 42%33
- Pass the re-exam: 41% (158 students), compared with 51% (264 students) on the ordinary exam
- Get 4 or 5: 25% (422 students)
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB1 Laboratory work
- G
- U
Main rounds
100% passed · 167 students
- 100%27
- 100%31
- 100%26
- 100%33
- 100%29
- 100%21
Later rounds
87% passed · 55 students
- 100%12
- 100%9
- 100%6
- 100%5
- 100%6
- 42%12
- 100%5
- Pass a later round: 87% (55 students), compared with 100% (167 students) on the ordinary exam
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%3
- 100%1
- 100%3
- 100%2
Hand-in or lab
UPG1 Optional assignments for bonus on final exam
- G
Main rounds
100% passed · 184 students
- 100%36
- 100%22
- 100%29
- 100%44
- 100%53
Later rounds
No sittings with at least 5 students.
About the course
Aim
The goal of the course is to provide an introduction to mathematical modeling of random experiments and statistical methods and concepts. It should also demonstrate applications relevant to the programs for which it is offered. After completing the course, the student should be able to:
- Analyze and visualize the distribution of a dataset, both with and without computer support.
- Calculate probabilities for events using concepts, theorems, and definitions covered in the course.
- Conduct statistical analysis using concepts, theorems, and definitions covered in the course, both with and without computer support.
Content
- Probability: Set theory and combinatorics. Basic probability theorems. Discrete and continuous random variables with some distribution measures. Some common probability models. The Central Limit Theorem.
- Statistics: Descriptive statistics with some distribution measures. Visualizations. Point and interval estimates. Hypothesis testing, including p-values. Correlation. Simple linear regression.
- Examiner
- Michael Hörnquist
- Scheduled hours
- 38 h
- Main field of study
- Matematik, Tillämpad matematik