Numerical Reasoning refers to the ability to understand, analyze and interpret quantitative information, such as numerical data, graphs, charts, and tables. These tasks are one of the best predictors of future work performance.
The test is designed to help employers identify which candidates have numerical reasoning that will benefit their company.
The Numerical Reasoning Test at a Glance
When to use: This test can be used at any stage of the hiring process but may be most relevant in an early stage when getting to know the candidate.
Response time: The candidate is required to answer as many sequences as possible within 10 minutes.
Result: An easy-to-interpret score that is benchmarked against hundreds of other candidates!
This Test is Backed by Real Science
Numerical Reasoning is a component of cognitive ability. It is defined as a general mental capability to perform tasks associated with perception, learning, memory, understanding, awareness, reasoning, judgment, intuition, and language. Cognitive ability is also often referred to as intelligence or general mental ability.
Numerical reasoning is measured through a person’s fluid intelligence. As fluid intelligence refers to solving unfamiliar problems, in that performance does not depend on prior learning, but rather, on abstract reasoning.
The Qualities of a Candidate with High Test Scores
If you're looking for someone who can easily solve unfamiliar problems by abstract reasoning look no further than someone with a high score on the Numerical Reasoning Test. This type of person excels at identifying relevant similarities, differences, and relations among diverse objects and ideas. This can be a valuable skill in any workplace.
Recruiting somebody with strong numerical reasoning skills can help to create a more reasoning and diverse workplace overall.
Examples of Roles that Would be an Optimal Fit for a High-Scoring Candidate:
Accountant: Accountants are responsible for preparing and analyzing financial records. They must have a strong understanding of accounting principles and be able to perform complex calculations, such as depreciation and tax calculations.
Engineer: Engineers use mathematical models and calculations to design and develop products, systems, and structures. They must have strong numerical reasoning skills to perform complex calculations and analyze data to ensure that their designs meet technical specifications and are safe and efficient.
Economist: Economists study economic data to understand how markets and economies function. They must have strong numerical reasoning skills to analyze data and develop economic models that can predict future trends.
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