Basic Statistics
Course facts
PLS0064, Basic Statistics, 4.0 Hp
Print syllabus
Syllabus
Level
Third cycle
Subject
Mathematical Statistics
Grading Scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Course language
English
Entry Requirements
The course is primarily intended for graduate students, but post-doctoral researchers are also welcome to attend.
Objectives
The objective of the course is to give an overview of the basic ideas and terminology in statistics and to learn how to use the computer to do a statistical analysis.
On completion of the course, the student will be able to:
• make graphical and numerical descriptions of data • apply basic probability concepts and statistical principles • design and formulate an experiment in statistical terms • describe common statistical methods including conditions and assumptions • using the computer to carry out a statistical analysis in scientific research • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate results and conclusions
Content
The course is built on lectures and computer exercises. The main moments are as follows:
• Terminology in probability and statistics. • Descriptive statistics. • Basic probability theory. • Research design. • Statistical inference of means and proportions. • Basic ideas of regression and correlation. • Basic ideas of nonparametric methods.
Examination Formats and Requirements for Passing the Course
Requirements for examination: Passed exercises/project and passed examination in written and/or oral form.
Responsible Department/Equivalent
Department of Biosystems and Technology
Supplementary information
Other Information
The course is given in Alnarp. The course literature is Olsson, Statistics for Life Science I (Studentlitteratur) The total time for the course is approximately 110 h.