Quantitative Analysis for Business

University of Otago

Course Description

  • Course Name

    Quantitative Analysis for Business

  • Host University

    University of Otago

  • Location

    Dunedin, New Zealand

  • Area of Study

    Business

  • 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

  • Credit Points

    18
  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    Descriptive and inferential statistics for commerce including applications to business research and practice. An introduction to statistical software, with practical work emphasising applications.

    Learning Outcomes
    It is expected that students will develop the following knowledge and skills during the course of this paper:
    - Explain and implement sample survey methods and data collection
    - Distinguish between different data types
    - Tabulate, calculate and analyse descriptive statistical measures and interpret and make decisions from them
    - Define discrete probability distributions and calculate probabilities
    - Define the standard normal distribution and be able to standardise a normal distribution
    - Implement hypothesis tests and construct confidence intervals for a mean or a proportion and interpret findings in context (both by hand and electronically by calculator and SPSS/Excel)
    - Implement hypothesis tests and construct confidence intervals for differences in two means or proportions for independent random samples and interpret findings in context (both by hand and electronically by calculator and SPSS/Excel)
    - Implement simple one-way ANOVA and carry out appropriate post-hoc tests (SPSS/Excel)
    Carry out Chi-square multinomial (goodness of fit) test and Chi-square test of independence and relate findings to decision making (calculator and SPSS/Excel)
    - Undertake a simple linear regression analysis (SPSS), assess the suitability of the analysis via residual analysis and interpret findings in context and forecast
    - Perform correlation analysis (Spearman's and Pearson's), test for significant correlation and interpret findings in context
    - Identify components of time series for both additive and multiplicative models and interpret and calculate trends, seasonal factors, de-seasonalised data and forecast

    Textbooks
    Australian Business Statistics, Selvanathan, Selvanathan, Keller 6th Ed.

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.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.