BTEC Level 5 Unit 42 Statistics for Management Assignment Brief 2026

BTEC Level 5 Unit 42 Assignment Brief

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:

1. • Quality Management
   • Operational Efficiency

2. Based on your findings, make practical recommendations for:

1. • 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

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

Plagiarism

Plagiarism is a particular form of cheating. Plagiarism must be avoided at all costs and students who break the rules, however innocently, may be penalised.  It is your responsibility to ensure that you understand correct referencing practices.  As a university level student, you are expected to use appropriate references throughout and keep carefully detailed notes of all your sources of materials for material you have used in your work, including any material downloaded from the Internet. Please consult the relevant unit lecturer or your course tutor if you need any further advice.

 Student Declaration