Which analysis type focuses on numerical data in business?

Quantitative analysis is the correct choice because it specifically involves the examination of numerical data to uncover patterns, test theories, and validate statements about that data. This type of analysis is essential in business as it allows organizations to make informed decisions based on measurable metrics, such as sales figures, market trends, and financial performance.

In quantitative analysis, tools such as statistical methods and mathematical models are utilized to interpret data and quantify relationships among different variables. This can include activities like forecasting sales, assessing financial risk, and optimizing business operations based on solid numerical evidence, all of which underscore the importance of quantitative analysis in a business context.

Other types of analysis, such as descriptive analysis, primarily focus on summarizing and describing data rather than interpreting it numerically; qualitative analysis emphasizes understanding underlying reasons and motivations through non-numerical data; and causal analysis looks at cause-and-effect relationships rather than solely focusing on numerical values. These other methods serve different purposes and are better suited for specific contexts within business analysis, but they do not focus exclusively on numerical data in the way that quantitative analysis does.