| 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 |
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
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.
Review actual and published data, apply statistical tools, and showcase the results in a clear matter using visuals and brief descriptions.
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:
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.
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.
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:
2. Based on your findings, make practical recommendations for:
3. Justify the use of each statistical method you applied and explain how it supports business decisions.
Present your findings clearly using appropriate charts and tables such as:
Explain:
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.
| 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. |
| Student name: | Assessor name: | ||
| Issue date: | Submission date: | Submitted on: | |
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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.
| I certify that the assignment submission is entirely my own work and I fully understand the consequences of plagiarism. I declare that the work submitted for assessment has been carried out without assistance other than that which is acceptable according to the rules of the specification. I certify I have clearly referenced any sources and any artificial intelligence (AI) tools used in the work. I understand that making a false declaration is a form of malpractice.
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