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PLS0064
Basic Statistics
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.
• 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.
Syllabus and other information
Syllabus
PLS0064 Basic Statistics, 4.0 Credits
Subjects
Mathematical StatisticsEducation cycle
Postgraduate levelGrading scale
Pass / Failed
Prior knowledge
Apart from a general familiarity with mathematics and statistics taught at Swedish gymnasiums (high schools), the course has no prerequisites.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 conclusionsContent
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.Additional 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.Responsible department
Department of Biosystems and Technology