AI1175 Basic Statistics for Economists 7.5 credits

• Examples of statistical applications in various economic issues
• Descriptive statistics, both visual (graphical) and numerical description
• Data Types
• Data sources, data collection and sampling methods
• Production of official statistics
• Probability
• Discrete and continuous probability distributions
• Statistical inference
• Point estimates, confidence intervals and hypothesis testing
• Statistics with Excel (and perhaps introduction to R).

After the course, students should have basic knowledge of commonly-used statistical concepts and methods, as economists in different industries apply. After completing the course students will for different circumstances be able to:

1. Identify appropriate statistical methods.
2. Perform calculations using computer software, in particular spreadsheet programs such as Excel.
3. Interpret, analyze and present results from statistical calculations.
4. Critical use own and others' statistical results.

No prerequisites

If the course is discontinued, students may request to be examined during the following two academic years.

• INL1 - Assignment, 3.5 credits, grading scale: P, F
• TEN1 - Written Exam, 4.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Bertram Steininger

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.