Statistical mathematics and error estimates TX00BT85-3007 11.01.2021-28.05.2021 5 credits(TXH19S1)+-
Learning outcomes of the course
The student will be familiar with normal distribution and confidence interval. The student will be able to find an estimate and an error estimate in linear and nonlinear conversion. The student knows the variance covariance matrix.
Prerequisites and co-requisites
Fundamentals of Mathematics and Natural Sciences 1
Course contents
The concept of probability and expectation. Estimation of probabilities by using samples. Normal probability distributions. Basic statistics (e.g. mean and standard deviation). Confidence interval and basic statistical tests (e.g. to find a systematic error). Linear and nonlinear conversion and variance covariance matrix.
Assessment criteria
Satisfactory
The student will be familiar with normal distribution and confidence interval. The student can find a systematic error.
Good
The student will be able to find an estimate and an error estimate in linear and nonlinear conversion.
Excellent
The student knows the variance covariance matrix and is able to use it.