BIBM573 – Business Statistical Analysis

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Module code
BIBM573
Module title
Business Statistical Analysis
Prescription
To enable students to make sense of numbers, graphs and fundamental statistical concepts; and to use, interpret and report them in a meaningful way in business practice. This paper also provides a foundation for further study, research and project management requiring an analytical approach
Programmes
  • BI1401
NZQA Level
Level 5
NZQA Credits
15
Delivery method
  • Web-Supported
Learning hours
Directed hours
64
Self directed hours
86
Total learning hours
150
Resources required
Learning Outcomes
1. Have an appreciation of the diverse nature of data in the business environment; be
familiar with the scientific approach to information provision in business; be able to apply
mathematical techniques including basic algebra to business data

2. Will be able to: collect data using statistical sampling methods; organise, analyse and
summarise data from a variety of business sources using computer based statistical
packages; interpret and report on findings in a manner which would be useful to people
with and without significant statistical knowledge

3. Be able to examine, calculate and report on quantitative changes, patterns and
relationships in business data using the tools of index numbers, time series and correlation
and regression

4. Be able to analyse, make decisions and report on these decisions in a business
environment, where uncertainty is the norm, using the tools of probability models and
statistical inference
Content
- Data analysis
- Probability
- Population sampling and sampling distributions
- Estimation
- Inference, hypothesis testing
- Simple and multiple regression analysis
- Index numbers
- Time series analysis
- Correlation of data
- Graphing business data
- Computer software analysis (Excel)
- Summarising and interpreting data
Teaching and Learning Strategy
Teaching will involve blended delivery methods incorporating the Moodle online delivery platform. Other delivery methods my involve theoretical and practical classes, face to face, lectures, tutorials, workshops, group activities, guest tutors, field trips, role-play, and video conferencing, as appropriate.
Assessment Criteria
Candidates must achieve a minimum result of 40 in the final examination of this module. They must also achieve a minimum C grade pass overall from all assessments to receive a passing grade for the module.
Learning and Teaching Resource
Required Text:
An extended reading list will be supplied by the tutor at commencement of the module. This will be updated annually.