Numerical Skills for Business

Nelson Mandela University

Course Description

  • Course Name

    Numerical Skills for Business

  • Host University

    Nelson Mandela University

  • Location

    Port Elizabeth, South Africa

  • Area of Study

    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

  • Host University Units

    12
  • Recommended U.S. Semester Credits
    0
  • Recommended U.S. Quarter Units
    1
  • Overview

    Syllabus

    PURPOSE
    To introduce students to a range of numeracy skills and their applications in the world of business.

    LEARNING OUTCOMES
    The student will demonstrate competence in

    • recognising, describing and working confidently with numbers and number relations;
    • estimating, calculating and verifying calculations both mentally and with the use of calculators;
    • recognising, describing and dealing with numerical, graphical, verbal and symbolic representations;
    • solving business-related problems and equations by applying knowledge of statistics and probability.

    CORE CONTENT

    • Basic calculations with whole numbers, fractions and decimal numbers, percentages, rounding off and approximations.
    • Changing the subject of formulae.
    • Basic calculator skills.
    • Substitution into formulae.
    • Ratio, proportion, measurement and units of measure.
    • Reading off of scales.
    • Plotting of linear graphs.
    • Introduction to statistics, graphical representation of statistical results and statistical analyses of grouped and ungrouped data.
    • Frequency distributions.
    • Measures of central location for ungrouped data.
    • Measures of central location for grouped data.
    • Determine mean of ungrouped data.
    • Interpretation of statistical information.
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