BTEC Level 5 Unit 42 Statistics for Management Assignment Brief 2026
BTEC Level 5 Unit 42 Assignment Brief
| Qualification | Pearson BTEC Level 5 Higher National Diploma in Business |
| Unit number and title | Unit 42: Statistics for Management |
| Assignment title | Data Analysis & Statistical Methods |
| Assessor | Ms. Himashi Muthugala |
| Hand-out date | 26.02.2026 |
| Hand-in deadline | 31.03.2026 |
Learning Outcomes
LO1 Evaluate business and economic data/information obtained from published sources.
LO2 Analyse and evaluate raw business data using a number of statistical methods
LO3 Apply statistical methods in business planning
LO4 Communicate findings using appropriate charts and tables
Vocational Scenario or Context
You are a Data Analyst Intern at Premier Financial Services Ltd, a small firm which is expanding and offering personal loans to individuals and small businesses.
As an intern, the management team has requested your assistance in making them realize that data can be utilized towards making better business decisions. The company has been experiencing high competition and desires to leverage data driven insights to enhance its loan approval process, risk management and customer service.
Task 1
Review actual and published data, apply statistical tools, and showcase the results in a clear matter using visuals and brief descriptions.
Checklist of Evidence Required
Part 01 – Understanding Published Business and Economic Data
1. Identify and discuss different sources of published business and economic data that can be useful for business decision-making (e.g., government databases, industry reports, international organisations).
2. Describe, in your own words, the differences between:
- Descriptive Analysis
- Exploratory Analysis
- Confirmatory Analysis
Use examples from any published data sources you have explored.
3. Critically evaluate the methods of analysis used in at least two published business or economic data sources. Discuss how effective these methods are in presenting information for business decision-making.
4. Critically evaluate the differences in application between descriptive, exploratory, and confirmatory analysis when applied to real business or economic datasets.
Part 02 – Analysing the Loan Dataset
Using the provided loan dataset:
1. Perform Descriptive Statistics (mean, median, mode, min, max, standard deviation) using Excel or another suitable tool.
Explain what these measures tell you about the customers or loans.
2. Include at least one qualitative dataset or insight (e.g., customer satisfaction comments, loan officer notes, or categorised responses).
Analyse and evaluate these qualitative findings to support your conclusions.
3. Conduct a Correlation Analysis to explore relationships between selected variables.
Represent this visually with an appropriate chart (e.g., scatterplot or correlation matrix).
4. Conduct a Simple Regression Analysis to predict an outcome (e.g., likelihood of loan approval).
Interpret your findings meaningfully and justify why regression or correlation was appropriate.
5. Reflect on the differences in the statistical techniques you applied and discuss their strengths, limitations, and suitability for business decision-making.
Part 03 – Applying Statistics in Business Planning
Use the results from your analysis to support business planning decisions in the context of financial services.
1. Apply statistical insights to address issues such as:
-
- Quality Management
- Operational Efficiency
2. Based on your findings, make practical recommendations for:
-
- Improving loan approval strategies,
- Managing business or credit risks, and
- Targeting suitable customers.
3. Justify the use of each statistical method you applied and explain how it supports business decisions.
Part 04 – Communicating Your Findings
Present your findings clearly using appropriate charts and tables such as:
- Bar charts, pie charts, histograms, scatterplots, and correlation matrices.
Explain:
- Why each visualisation was chosen, and
- How effective presentation helps managers make faster and clearer business decisions.
You can use Excel or any other preferred platforms for the calculations and the visualisations. You have the freedom to create your own report using preferred method. Add clear screen shots of the workings.
Criteria Covered by this Task
| Unit/criteria reference | To achieve the criteria, you must show that you are able to: |
| P1 | Evaluate the nature and process of business and economic data/information from a range of different published sources. |
| P2 | Evaluate data from a variety of sources using different methods of analysis. |
| P3 | Analyse and evaluate qualitative and quantitative raw business data from a range of examples using appropriate statistical methods. |
| P4 | Apply a range of statistical methods used in business planning for quality, inventory and capacity management. |
| P5 | Assess different types of visual representations for communicating findings effectively. |
| P6 | Using appropriate charts and tables, communicate findings for given variables effectively. |
| M1 | Critically evaluate the methods of analysis used to present business and economic data/information from a range of different published sources. |
| M2 | Evaluate the differences in application between descriptive statistics, inferential statistics and measuring association. |
| M3 | Justify the use of appropriate statistical methods, supported by specific organisational examples. |
| M4 | Evaluate the use of different types of charts and tables for effectively communicating findings for given variables. |
| D1 | Critically evaluate the differences in application between methods of descriptive, exploratory and confirmatory analysis of business and economic data. |
| D2 | Make valid recommendations and judgements for improving business planning through the application of statistical methods. |
| D3 | Justify the rationale for choosing the method of communication. |
Sources of Information to Support you with this Assignment
Textbooks
- ANDERSON, D. et al (2019). Statistics for Business & Economics. 3rd Ed. Cengage Learning.
- NEWBOLD, P. et al (2019) Statistics for Business and Economics. Global edition. 9th Ed. Harlow: Pearson.
- RENDER, B. (2017) Quantitative Analysis for Management. 13th Ed. Harlow: Pearson.
- Cortinhas, C. (2012) or Latest Ed. Statistics For Business And Economics. (1st Ed). John Wiley & Sons, West Sussex.
- Budnics, F. (2003) or Latest Ed . Applied Mathematics for Business Economics and Social Science. (5th Ed). Macgraw Hill, NewDelhi.
Websites
- World Bank Open Data | Data
- IMF Data
- Department of Census and Statistics
- UNICEF DATA – Child Statistics
- http://www.bbc.co.uk/
- http://www.corporatefinanceinstitute.com/
- http://www/
Links
- Unit 5: Accounting Principles
- Unit 6: Managing a Successful Business Project (Pearson Set)
- Unit 11: Business Data and Numerical Skills
- Unit 19: Research Project (Pearson Set)
Student Assessment Submission and Declaration
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Student Declaration
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