About the course:
Study time commitment: Short Course
Learning style: E-Learning
Course provider: Master Research Australasia
Key contact: Dr. David Wilson
(CILT) Statistics for Logistics
Course Outline
Introductory level course in elementary statistics assuming only knowledge of arithmetic. The course uses examples and applications drawn from transport and logistics. It proceeds at a relatively slow pace and uses Excel to apply formulae and test hypotheses.
Course Objectives:
- Introduction to statistics
- Descriptive statistics
- Measures of central tendency and dispersion
- Description of statistics using Excel
- Probability distributions, central limit theorem, law of large numbers
- Hypothesis testing
- Sample size determination
- Correlation and Regression
- Time series
Learning Outcomes
Use Excel to calculate means, standard deviations, create histograms of distributions, introduce normal distribution, test hypotheses, correlation and regression.
This is a stand-a-lone beginning quantitative subject specifically for students studying logistics and supply chain management. Students are encouraged to bring along data from their work place to use in statistical analysis along with a lap top computer with Microsoft Excel or their statistical calculators.
Duration
1 Day or 2 Half Days in Melbourne
Delivery Mode
Classroom
Pre-Requisites
Introduction to Logistics
Fees
On Application
Commencement Dates
On Application
Location: