Course - Statistics with Applications - ST0103
ST0103 - Statistics with Applications
About
Examination arrangement
Examination arrangement: School exam
Grade: Letter grades
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| School exam | 100/100 | 4 hours | C |
Course content
Descriptive statistics. Probability calculations, including probability laws, conditional probability and independence, random variables, discrete and continuous probability distributions, expected value, variance, bivariate probability distributions, covariance and correlation. Estimation, confidence intervals and hypothesis testing. The central limit theorem. Introduction to simple linear regression.
Learning outcome
1. Knowledge. The student knows basic concepts in probability, simple probability models and statistical inference. In addition, the student knows a number of basic statistical methods and the assumptions underlying these methods. 2. Skills. The student is able to use his or her knowledge in recognising and analysing simple forms of data in the natural sciences. In addition, the student is able to communicate with statisticians about analysis of data arising in more complex situations.
Learning methods and activities
Lectures and compulsory exercises. Written final examination is the basis for the grade awarded in the course. Parts of this course can be taught in English.
Compulsory assignments
- Exercises
Further on evaluation
In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken. For more information about grading and evaluation, see «Teaching methods and activities».
The re-sit examination may be given as an oral examination.The retake exam is in August.
Recommended previous knowledge
MA0001 Mathematical methods A and MA0002 Mathematical methods B, or equivalent.
Course materials
Will be announced at the start of the course.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| MNFST101 | 7.5 | AUTUMN 2009 | |
| MNFST001 | 7.5 | AUTUMN 2009 | |
| ST1101 | 3.7 | AUTUMN 2009 | |
| ST1201 | 3.7 | AUTUMN 2009 | |
| ST0202 | 7.5 | AUTUMN 2009 | |
| ST0101 | 3.7 | AUTUMN 2009 | |
| ST0201 | 3.7 | AUTUMN 2009 | |
| MNFSIB1 | 7.5 | AUTUMN 2009 | |
| ST6200 | 3.7 | AUTUMN 2009 | |
| ST6201 | 3.7 | AUTUMN 2009 | |
| TMA4240 | 7.5 | AUTUMN 2009 | |
| TMA4245 | 7.5 | AUTUMN 2009 | |
| SIF5060 | 7.5 | AUTUMN 2009 | |
| SIF5062 | 7.5 | AUTUMN 2009 | |
| MET1002 | 7.5 | AUTUMN 2019 | |
| ISTA1001 | 5.0 | AUTUMN 2024 | |
| ISTA1002 | 5.0 | AUTUMN 2024 | |
| ISTA1003 | 5.0 | AUTUMN 2024 | |
| ISTG1001 | 5.0 | AUTUMN 2024 | |
| ISTG1002 | 5.0 | AUTUMN 2024 | |
| ISTG1003 | 5.0 | AUTUMN 2024 | |
| ISTT1001 | 5.0 | AUTUMN 2024 | |
| ISTT1002 | 5.0 | AUTUMN 2024 | |
| ISTT1003 | 5.0 | AUTUMN 2024 | |
| VB6200 | 5.0 | AUTUMN 2024 |
Version: 1
Credits:
7.5 SP
Study level: First degree
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: Norwegian
Location: Trondheim
- Statistics
Department with academic responsibility
Department of Mathematical Sciences
Examination
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 C 2024-12-19 09:00 INSPERA
-
Room Building Number of candidates SL323 Sluppenvegen 14 1 SL274 Sluppenvegen 14 7 SL311 brun sone Sluppenvegen 14 82 SL326 Sluppenvegen 14 1 SL515 Sluppenvegen 14 1 SL120 Sluppenvegen 14 12 SL317 Sluppenvegen 14 1 SL311 grønn sone Sluppenvegen 14 68 SL311 lyseblå sone Sluppenvegen 14 27 SL420 Sluppenvegen 14 3 SL315 Sluppenvegen 14 1 - Summer UTS School exam 100/100 C INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"