How to prepare for your numerical aptitude test
The numerical aptitude test measures your ability to interpret, analyse and draw logical conclusions based on numerical data. There are several types of numerical aptitude tests:
- The basic numerical aptitude test is typically given to candidates applying for entry-level non-managerial roles (excluding banking, finance and consulting). In these test questions you are given a short scenario and asked to demonstrate your ability to do simple calculations, such as adding/dividing numbers, calculating an average or a percentage increase. Typically, you are allowed to use a calculator in this type of numerical test.
- A more complex numerical aptitude test can be given to candidates targeting entry-level non-managerial roles, as well as professional roles. This test includes question scenarios that are shorter but more complex, as well as number series. You are not asked to demonstrate your arithmetical skills, but your ability to understand numerical information quickly, and make logical and accurate decisions.
- The most complex and popular type of numerical test offers you numerical information in the form of graphs and tables. In this test type, you are asked to make some business-related decisions based on the information provided. This type of test is typically given to candidates applying for complex professional and managerial roles.
Click to see some numerical aptitude test questions examples.
What do employers seek to learn from your numerical test score?
Numerical data generated by organisational systems or communicated by key stakeholders are a crucial information source to drive results, monitor progress, and achieve business goals. Hence, employers expect you to be capable of effectively collecting, interpreting, analysing, and presenting numerical data.
Employers use the result of your numerical reasoning test to learn the extent to which you are:
- capable of efficiently and effectively identifying critical business-related issues, and logically drawing conclusions from numerical data – such as performance figures, financial results, and analysis reports
- capable of efficiently monitoring performance and progress based on numerical metrics, such as charts and tables
- capable of clearly presenting and conveying business-related issues in charts and tables to key stakeholders.