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    Overview

    Introduction to types of business decisions and selection of appropriate quantitative or qualitative data gathering techniques. Characteristics of data types, application of tools, interpretations of results and ethical issues.

    About this paper

    Paper title Interpreting Business Data
    Subject Business Studies
    EFTS 0.15
    Points 18 points
    Teaching period(s) Semester 1 (On campus)
    Semester 2 (On campus)
    Domestic Tuition Fees ( NZD ) $937.50
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    Restriction
    BSNS 102, STAT 110, STAT 115
    Schedule C
    Commerce
    Notes
    This is a required paper for BCom from 2017 (to be taken in place of BSNS102 by students completing under earlier regulations).
    Contact
    warren.mcnoe@otago.ac.nz
    Teaching staff

    Warren McNoe (Economics)

    Textbooks

    Business Statistics: Australia and New Zealand, 8th Edition
    ISBN: 9780170439527

    Course outline

    View the course outline for BSNS 112

    Graduate Attributes Emphasised
    Critical Thinking, Research, Interdisciplinary Perspective, Scholarship, Ethics.
    View more information about Otago's graduate attributes.
    Learning Outcomes
    Students who successfully complete the paper will:
    • Be able to describe different types of business decisions and their associated characteristics
    • Understand the process of business decisions, including the articulation of relevant questions, data collection, data analysis and interpretation
    • Be able to select an appropriate quantitative or qualitative technique to answer a given question, taking into account its strengths and weaknesses and the characteristics of the data
    • Be familiar with some of the tools used to perform quantitative and qualitative data analysis
    • Demonstrate awareness of ethical and privacy issues relating to data collection and analysis
    • Be able to interpret critically the result of data analysis

    Timetable

    Semester 1

    Location
    Dunedin
    Teaching method
    This paper is taught On Campus
    Learning management system
    Blackboard

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Tuesday 09:00-09:50 10-13, 15-18
    A2 Tuesday 09:00-09:50 10-13, 15-18
    A3 Tuesday 10:00-10:50 10-13, 15-18
    A4 Tuesday 10:00-10:50 10-13, 15-18
    A5 Tuesday 12:00-12:50 10-13, 15-18
    A6 Tuesday 12:00-12:50 10-13, 15-18
    A7 Wednesday 09:00-09:50 10-13, 15-18
    A8 Wednesday 10:00-10:50 10-13, 15-18
    A9 Wednesday 10:00-10:50 10-13, 15-18
    A10 Thursday 09:00-09:50 10-13, 15-16, 18
    A11 Thursday 09:00-09:50 10-13, 15-16, 18
    A12 Thursday 10:00-10:50 10-13, 15-16, 18
    A13 Thursday 10:00-10:50 10-13, 15-16, 18
    A14 Thursday 11:00-11:50 10-13, 15-16, 18
    A15 Thursday 11:00-11:50 10-13, 15-16, 18
    A16 Thursday 13:00-13:50 10-13, 15-16, 18
    A17 Wednesday 09:00-09:50 10-12, 15-18
    A18 Thursday 13:00-13:50 10-12, 15-18

    Lecture

    Stream Days Times Weeks
    Attend one stream from
    A1 Monday 13:00-13:50 9-13, 15-22
    A2 Monday 14:00-14:50 9-13, 15-22
    AND one stream from
    B1 Tuesday 14:00-14:50 9-13, 15-22
    B2 Tuesday 15:00-15:50 9-13, 15-22
    AND one stream from
    C1 Wednesday 13:00-13:50 9-13, 15-22
    C2 Wednesday 14:00-14:50 9-13, 15-22

    Semester 2

    Location
    Dunedin
    Teaching method
    This paper is taught On Campus
    Learning management system
    Blackboard

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Tuesday 10:00-10:50 29-35, 37
    A2 Tuesday 10:00-10:50 29-35, 37
    A3 Tuesday 11:00-11:50 29-35, 37
    A4 Tuesday 11:00-11:50 29-35, 37
    A5 Tuesday 13:00-13:50 29-35, 37
    A6 Tuesday 13:00-13:50 29-35, 37
    A7 Tuesday 14:00-14:50 29-35, 37
    A8 Tuesday 14:00-14:50 29-35, 37
    A9 Wednesday 09:00-09:50 29-35, 37
    A10 Wednesday 09:00-09:50 29-35, 37
    A11 Wednesday 10:00-10:50 29-35, 37
    A12 Wednesday 10:00-10:50 29-35, 37

    Lecture

    Stream Days Times Weeks
    Attend
    A1 Monday 13:00-13:50 29-35, 37-42
    Tuesday 09:00-09:50 29-35, 37-42
    Wednesday 13:00-13:50 29-35, 37-42
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