Business Statistics

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Business Statistics

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Business, Business Administration, Statistics

  • Language Level

    Taught In English

  • Course Level Recommendations

    Lower

    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
    ACADEMIC AND RESEARCH SKILLS – STUDENTS CAN CONDUCT A BASIC INTERNATIONAL RESEARCH PROJECT FROM START TO FINISH Academic Skills (three As)
    After successfully completing this course, the student:
    • can perform key statistical operations. Research Skills After successfully completing this course, the student:
    • can solve real-world problems by using mathematical techniques

    BRIDGING THEORY AND PRACTICE
    KNOWLEDGE: Demonstrates theoretical and empirical knowledge concerning the relevant areas in international business administration
    After successfully completing this course, the student:
    • can select and apply the right statistical technique, specifically:
    • properly use statistical notation (both passively and actively);
    • calculate elementary probabilities;
    • model events with the Bernoulli distribution, the binomial, uniform and normal distribution;
    • calculate and interpret descriptive statistics (mean, median, variance, correlation coefficient, skewness, proportion, etc.);
    • use the concepts population, sample and sample variation;
    • calculate confidence intervals (for the mean, proportion and variance);
    • distinguish statistical and practical significance;
    • perform one sample tests (for mean, median, proportion and variance);
    • perform two sample test (for mean, median, proportion and variance);
    • create contingency tables and perform a chi-square test;
    • perform multiple regression (including tests, confidence intervals and dummy’s);
    • perform one way ANOVA (including post-hoc-analysis);
    • choose the right test for a given problem;
    • visualize data and relationships;
    • use the program SPSS for the above topics.

    APPLICATION: Can propose a solution to an international real-life business problem by applying relevant theories and methodologies.
    After successfully completing this course, the student, is able:
    • can read and write texts in which statistics occurs;
    • can use standard software for solving statistical problems.

    COURSE CONTENT
    International business administration is a subject in which data is of prime interest. You can have great ideas on the impact of advertisement on sales, or of bonus wages on employer’s performance, but the ultimate test is not the theory, but always the empirical data. These data, however, are often not fully conclusive. Sales go up on some days, but they go down on other days. Other factors make that what we see is noisy. Statistics helps you to make sense out of data. Further, today’s analyses require basic skills in setting up and handling spreadsheets and visualizing data. This course therefore also addresses such general skills.

    TEACHING METHODS
     Lectures and Tutorials

    TYPE OF ASSESSMENT
    Interim exams (computer tests) – Individual assessment
    Final, written exam – Individual assessment
    Mandatory attendance tutorials

    RECOMMENDED BACKGROUND KNOWLEDGE
    1.1 Business Mathematics
    1.3 Academic Skills

Course Disclaimer

Courses and course hours of instruction are subject to change.

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