Quantitative data refers to numerical information that can be quantified and is ideal for statistical analysis, providing measurable evidence. In business analysis, quantitative data might include sales figures, revenue, cost metrics, and customer counts. This type of data allows analysts to apply mathematical models to draw insights and forecasts, making it crucial for evidence-based decision-making. In contrast, qualitative data focuses more on opinions and attitudes, which are less suited to statistical models. Option A is incorrect as it describes qualitative data, which captures subjective opinions. Option C is incorrect as consumer emotions and satisfaction are aspects of qualitative data. Option D is incorrect because non-numerical data typically align with qualitative, not quantitative data. Option E is incorrect as qualitative data is often gathered through text forms like surveys, but quantitative data is measured in numbers.
Four of the five parts numbered (1), (2), (3), (4) and (5) are exactly equal. The number of that part which is not equal will be your answer.
