# TMA4245 - Statistics

### Examination arrangement

Examination arrangement: School exam

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours C

### Course content

Descriptive statistics. Probabilities for an event and stochastic variables. Independent and dependent stochastic variables. Conditional probability. Monte Carlo simulation. Univariate and multivariate probability distributions. The most important classes of univariate probability distributions. Point estimation, interval estimation and hypothesis testing for one and two sample data. Simple linear regression. Use of software and programming to visualise observed data, to do and use Monte Carlo simulation, and to perform other computations related to the topics of the course.

### Learning outcome

1. Knowledge. The student knows the mathematical basis for probability and statistical inference, can recognise simple statistical standard situations in technology and natural sciences, and know how these situations can best be analysed.

2. Skills. The student can calculate probabilities for events in simple situations. Further, the student can apply his or her knowledge of probability and statistics to recognise and analyse data from simple statistical situations in technology and natural sciences. In these analyses the student is capable of using computer programming when this is necessary.

3. General competence. The student has some knowledge in computer programming for making plots and for computing numerical quantities

### Learning methods and activities

Lectures and exercises. Parts of the teaching may be given in English.

• Exercises

### Further on evaluation

Grade is given based on a final written examination. Retake of examination may be given as an oral examination. The retake exam is in August.

### Course materials

Will be announced at the start of the semester.

### Credit reductions

Course code Reduction From To
SIF5062 7.5
ST0201 3.7
ST0101 3.7
ST1101 3.7
ST1201 3.7
TMA4240 7.5
ST0202 7.5 AUTUMN 2008
ST6200 3.7 AUTUMN 2008
ST6201 3.7 AUTUMN 2008
SIF5060 3.7
ST0103 7.5 AUTUMN 2009
MET1002 7.5 SPRING 2017
AR100219 7.5 AUTUMN 2019
REA1154 7.5 AUTUMN 2019
REA1154F 7.5 AUTUMN 2022
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
More on the course

Facts

Version: 1
Credits:  7.5 SP
Study level: Foundation courses, level I

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
• Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department of Mathematical Sciences

# Examination

#### Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system
Spring ORD School exam 100/100
Summer UTS School exam 100/100
• * 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU