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Mathematical Statistics 6 Credits

The course focus on the basic proability theory and relevant statistical inference methods that are used when analyzing a data set. Random variability is a fundamental concept.

Course Contents

  • Basic probability theory
  • Random variables
  • Discrete and continuous distributions, especially the normal distribution
  • Central limit theorem with applications
  • Descriptive statistics
  • Point estimates and interval estimates
  • Hypothesis testing

Prerequisites

General entry requirements and Mathematics D or Mathematics 3c, alternatively completed course Basic Mathematics and Chemistry, 6 credits.

Level of Education: Undergraduate G1N
Course code/Ladok code: TMSG14
The course is conducted at: School of EngineeringLast modified 2016-04-05 08:42:48

Content updated 2020-08-25