Business Statistics

Anglo-American University

Course Description

  • Course Name

    Business Statistics

  • Host University

    Anglo-American University

  • Location

    Prague, Czech Republic

  • Area of Study

    Business Administration, Business Analytics, Mathematics, 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 Description
    This course provides a comprehensive review of why and how we use basic mathematical and statistical methods and stresses their practical applications. The course will teach the students basic analytical skills and shows typical problems that arise in business.The course includes practical, analytical and theoretical sections. The course focuses on statistical analysis of data starting with descriptive statistics, and introduces concepts as sampling, hypothesis testing, regression analysis, probabilities, etc. Thus, solid basis is built for immediate practical implementation and as well for more profound studies of quantitative analysis and formal manipulation with business data.

    Course Learning Outcomes
    Upon completion of this course, students should be able to:
    –Understand the meaning and use of statistical terms used in business statistics;
    –Understand the nature of the data;
    –Present and interpret data in tables and charts;
    –Understand and apply descriptive statistical measures to business situations;
    –Understand and apply probability distributions to model different types of business processes;
    –Understand and apply statistical estimation and hypothesis testing;
    –Understand and apply simple linear regression analysis;
    –Use computer spreadsheet software to perform statistical analysis on data.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Some courses may require additional fees.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.

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