# TMA4240 - Statistics

### Course content

Descriptive statistics. Probabilities for an event and stochastic variables. Independent and

dependent stochastic variables. Conditional probability. Univariate and multivariate probability distributions. The most important classes of univariate probability distributions. Extreme

variables. Point estimation, interval estimation and hypothesis testing for one and two sample

data. Simple linear regression.

### 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. Furthermore the student understands

the concepts of statistics and probability sufficient to be able to communicate with a trained statistician in more complicated situations.

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, also using descriptive statistics. Furthermore, the student is able to communicate with a trained statistician in more complicated situations.

### Learning methods and activities

Lectures, recommended problems and compulsory exercises. Written final examination is the basis for the grade awarded in the course. Retake of examination may be given as

an oral examination.

• Exercises

### Further on evaluation

see «Teaching methods and activities».

### Specific conditions

Compulsory activities from previous semester may be approved by the department.

### Course materials

Will be announced at the start of the semester.

### Credit reductions

Course code Reduction From To
SIF5060 7.5
ST0201 3.7
ST0101 3.7
ST1101 3.7
ST1201 3.7
TMA4245 7.5
ST0202 7.5 AUTUMN 2008
SIF5062 7.5 AUTUMN 2008
ST6201 3.7 AUTUMN 2008
ST6200 3.7 AUTUMN 2008
ST0103 7.5 AUTUMN 2009
MET1002 7.5 SPRING 2017
AR100219 7.5 AUTUMN 2019
REA1154 7.5 AUTUMN 2019
More on the course

Facts

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

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2021

Language of instruction: Norwegian

Location: Trondheim

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

Department of Mathematical Sciences

# Examination

#### Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system
Autumn NY School exam 100/100 2021-12-09 15:00
Autumn NY School exam 100/100 2021-12-09 09:00
• * 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