2022/2023

Recommended prerequisite for participation in the module

The module adds to the knowledge obtained in Linear Algebra and Calculus

Content, progress and pedagogy of the module

Learning objectives

Knowledge

Students who have passed the module should be able to

• Describe basic concepts of probability theory, statistics and quality control
• Account for relevant statistical software for solving problems in statistics and quality control

Skills

• Choose the right probability model and perform calculations according to the model. This applies to both discrete and continuous distributions
• Handle both one-dimensional as well as multi-dimensional random variables and the related distributions, discrete and continuous
• Calculate the mean, standard deviation for one-dimensional random variables and also be introduced into the calculation and understanding of covariance for multi-dimensional random variables
• Select the right statistical method and make calculations of confidence intervals and do hypothesis testing for one and two random samples, make analysis of variance and regression analysis in terms of continuous as well as discrete probability distributions
• Establish and solve problems in process control and product control, this applies both within continuous as an alternative variation
• Handle both traditional solution techniques as well as software based solutions
• Interpret the results obtained from the correct statistical method including their application
• Set up and use non-parametric tests on qualitative data

Competences

• Engage in a dialogue regarding the optimal choice of method within probability theory, statistics and quality control
• Disseminate the results of the calculations to others, including colleagues, public authorities, etc.

Type of instruction

• Lectures and theoretical exercises

150 hours

Exam

Exams

 Name of exam Applied Statistics Type of exam Written or oral exam ECTS 5 Assessment 7-point grading scale Type of grading Internal examination Criteria of assessment The criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

 Danish title Anvendt statistik Module code K-KT-B3-30 Module type Course Duration 1 semester Semester Autumn ECTS 5 Language of instruction Danish and English Empty-place Scheme Yes Location of the lecture Campus Esbjerg Responsible for the module Svante Eriksen

Organisation

 Study Board Study Board of Biotechnology, Chemistry and Environmental Engineering Department Department of Chemistry and Bioscience Faculty The Faculty of Engineering and Science