Highlights
Instructions on Assessment:
• This is an individual piece of work.
• You are advised to be familiar with the University’s definitions of academic misconduct including plagiarism and collusion (Northumbria, 2018a).
• You are required to use the Harvard Style of referencing and citation. The “Cite them right” guide is recommended for referencing and citation (Pears and Shields, 2008) which should be followed throughout your assignment. A good alternative is Northumbria (2018b).
• Students are required to use SPSS software and attach its code (instructions) to their solution.
• The number of marks allocated to each of the questions are denoted in parentheses “( )”.
Mapping to Programme Goals and Objectives
This assignment covers all the learning outcomes for the module which are given below:
Knowledge & Understanding:
• Key aspects of statistics and business intelligence techniques for forecasting future trends and business growth
• Application of appropriate techniques for understanding and exploring business data and how it can be exploited for decision making
Intellectual / Professional skills & abilities:
• Apply different statistics and business intelligence techniques to complex real world business environment having to deal with and exploit huge volumes of data
• Critically evaluate and reflect on solving real life business problems using suitable exploratory data analysis techniques and algorithms
Assessment Brief
Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
• Build an awareness of legal, cultural and ethical issues surrounding analysis, exploration and dissemination of data.
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