Statistical Analysis

Knowledge about

• Statistical theory and methods as tools to answer relevant questions
• Descriptive statistics including, centrality, distribution and skewness measures
• Probability calculations including, combinatorics, conditional probability and probability functions focusing on binomial- and normal distributions
• The sentral limit theorem, confidens intervals and hypotesys testing with z-, t-, F- and Chi-square distribution based formulas
• Regression analysis, both simple and multiple analysis

Skills

• Can apply a combination of statistical tools to analyse a dataset
• Can apply relevant statistical tools and reflect on the relevance e.g. apply a hypothesis test or evaluate variables for a regression and can rationalize the choice
• Can reflect on the findings of statistical tests in relation to the problem at hand and the data set in question
• Masters the use of digital tools to carry out a statistical analysis and present the findings in a combination of tables, graphs and text

General competence

• Can use statistical tools to answer questions relating to data such as business data (sales, production, marketing etc.), economics (e.g. business development, household expenditure or innovation at a regional, national or international level) or survey data.
• Can plan and preform a statisticical analysis as to preform independent research on a dataset