Business Statistics
Budget: $10 – $30 USD
1. Identify and evaluate the main features of a data set.
2. Critically discuss the strengths and weaknesses of a particular statistical approach and the practical implications of statistical analysis.
3. Evaluate and critically apply appropriate statistical analysis, with the aid of computer packages, to business and management data for business decision‐making.
4. Interpret and professionally communicate statistical analysis findings to non‐specialists within a business.
5. Make critical judgments on business cases and provide suggestions and advice to the business based on their statistical analysis & findings.
• Plot relevant charts to illustrate the data and interpret the results of the analysis accordingly.
• Compute the correlation and any relevant analysis to represent the data output and interpret the results.
• Interpret your results with relevant academic input.
The criteria below will apply to both presentation and submitted documentation.
• Critique of the case and the findings therein. 35%
• Technical work you have undertaken; both the choice of suitable analytical tools and their correct implementation. 35%.
• Answering the question as set, using both the dataset and information as sources. 20%.
• Quality and style of documentation/ presentation.
2. Critically discuss the strengths and weaknesses of a particular statistical approach and the practical implications of statistical analysis.
3. Evaluate and critically apply appropriate statistical analysis, with the aid of computer packages, to business and management data for business decision‐making.
4. Interpret and professionally communicate statistical analysis findings to non‐specialists within a business.
5. Make critical judgments on business cases and provide suggestions and advice to the business based on their statistical analysis & findings.
• Plot relevant charts to illustrate the data and interpret the results of the analysis accordingly.
• Compute the correlation and any relevant analysis to represent the data output and interpret the results.
• Interpret your results with relevant academic input.
The criteria below will apply to both presentation and submitted documentation.
• Critique of the case and the findings therein. 35%
• Technical work you have undertaken; both the choice of suitable analytical tools and their correct implementation. 35%.
• Answering the question as set, using both the dataset and information as sources. 20%.
• Quality and style of documentation/ presentation.