Mathematical Statistics for Subject Teachers

Education facts

Code: MASL01

<p>An introduction to probability and statistics with applications.</p><p>The course is intended to give the student the basics in mathematical modelling of random variation and an understanding of the principles behind statistical analysis. It shall also give the students a toolbox containing the most commonly used models and methods, as well as the ability to use these in practical situations, for the coming thesis work as well as in the future work as a teacher.</p> <p>The course shall also give a basis for further studies, both in probability theory and inference theory, as well as in the application areas.</p> <p>The course treats:</p> <p>Bayes theorem.</p> <p>Expectation and variance.</p> <p>Normal distribution</p> <p>Binomial distribution, and other important distributions for measurements and frequencies.</p> <p>Data analysis.</p> <p>Statistical inference: Point estimates, Interval estimates and hypothesis testing.</p> <p>Methods for normally distributed observations.</p> <p>Approximative methods based on the normal distribution.</p> <p>Comparisons between expectations.</p> <p>Variability, and distributions.</p> <p>Estimates of proportions.</p> <p>Regression analysis and calibration.</p> <p>Covariance och correlation.</p> <p>Correlation between two explanatory variables.</p> <p> </p><p>https://www.maths.lu.se/english/education/all-courses/courses-faculty-of-science/</p>

Entry requirements

For admission to the course, general entry requirements and 45 credits of studies in mathemtics including knowledge equivalent to the courses: MATA21 Analysis in One Variable, 15 credits, MATA22 Linear Algebra 1, 7.5 credits, NUMA01 Computational Programming with Pyhon, 7.5 credits, MATB21 Analysis in Several Variables 1, 7.5 credits, MATB22 Linear Algebra 2, 7.5 credits.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Mathematical Statistics for Subject Teachers

  Lund University

  Start date: 23 March 2026

  End date: 7 June 2026

  Pace of study: 50 %