Statistical Methods

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Statistical Methods

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Statistics

  • Language Level

    Taught In English

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    COURSE OBJECTIVE
    After this course, the student should be:

    • familiar with basic principles and techniques of statistics;
    • able to apply these principles and techniques to data using the statistical package R;
    • able to present results from statistical analyses in a clear, concise way;
    • able to interpret and critically evaluate these results.

    COURSE CONTENT

    • Summarising data;
    • Basics of probability theory;
    • Estimating means and fractions;
    • Hypothesis testing for one- and two-sample problems;
    • Correlation and linear regression;
    • Contingency tables.

    TEACHING METHODS
    Lectures (2x2hours), exercise classes (2 hours) and computer classes (2 hours).

    TYPE OF ASSESSMENT
    Mandatory (group) assignments and exams (midterm and final, both mandatory). You will work on assignments during weekly computer classes.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Some courses may require additional fees.