Dansk DTU.dk Index Contact Phone book Internal Pages DTU Alumni
 Søgeord
 MSc degree programme PhD programmes IMM courses Coursebase DTU Laboratories Summer Schools Welcome to DTU DTU Informatics bookshop

## 02402 Introduction to Statistics

### Danish title:

Introduktion til statistik

5

### Course type:

BSc
Taught under open university

E3A (tirs 8-12)
F4A (tues 13-17)

Campus Lyngby

### Scope and form:

Lectures. Group study and homework problems.

13 weeks

E3A, F4A

,

### General course objectives:

To give the participants an introduction to statistical thinking and methods and to provide them with an understanding of random variation and of the use of statistical models. Important statistical principles for collection and analysis of data are introduced, and methods for model choice, estimation, testing and model verification are presented. The participants learn to handle a number of elementary problems which occur frequently in engineering practice and are thus enabled to critically assess statistical (empirical) investigations and references.

### Learning objectives:

A student who has met the objectives of the course will be able to:
• Estimate and interpret simple summary statistics, such as mean, standard deviation, variance, median and quartiles.
• Apply simple graphical techniques, including histograms, normal-score plots, and box plots.
• Identify and describe probability distributions, including Poisson, binomial, exponential and the Normal distribution.
• Compare different statistical methods.
• Apply and interpret important statistical concepts, such as the formulation of models, paramteter estimation, construction of confidence intervals and hypothesis testing.
• Apply and interpret simulation based statistical methods.
• Apply and interpret simple statistical methods within one- and two sample situations and for count data.
• Identify and apply central statistical terminology.
• Apply and interpret simple statistical methods within simple linear regression and analysis of variance.
• Understand and interpret output from some commonly used statistical software
• Perform sample size calculations in simplified and standard setups
• Debate and critize emprically based information.

### Content:

Simple methods for graphical and tabular assessments of collected or measured data: empirical distributions, histogram, normal probability plot, box plot. Model formulation. Model control: control of distribution function. Application of especially Poisson-, binomial-, exponential- and normal distribution. Estimation and test of parameters and construction of confidence intervals in frequently occuring situations (e.g. means, variances, proportions). Regression analysis with one independent variable and introduction to the analysis of variance and to the analysis of contingency tables, estimation theory and simulation based methods.

### Remarks:

The course is a general methodological course aimed at all engineering students. Lectures are given in Danish but similar English lectures given by the same teacher are available online.

### Responsible:

Per B. Brockhoff, Building 324, room 220, Ph. (+45) 4525 3365 ,

### Department:

01 Department of Applied Mathematics and Computer Science

### Home page:

http://02402.imm.dtu.dk

### Registration Sign up:

At CampusNet
Last updated: 18. september, 2013

See course in DTU Course base

 Top
 Matematiktorvet DTU - Building 303B DK-2800 Kgs. Lyngby --- Tel +45 4525 3031 EAN 5798000428515
 Cookies