We are asked to compute the ratio of revenue growth between: \[ \frac{\text{Revenue}_{1992} - \text{Revenue}_{1991}}{\text{Revenue}_{1991} - \text{Revenue}_{1990}} \]
Statement I: Gives the angles that AB and CB make with the x-axis, but angles alone do not give revenue unless we know the scaling. So it is insufficient alone.
Statement II: The scale alone doesn’t help — we don’t know how much y-values differ between A, B, and C unless the angles or coordinates are known.
Together: With the angle (from slope) and scale (conversion from cm to revenue), we can compute the vertical change: \[ \tan \theta = \frac{\Delta y}{\Delta x} \Rightarrow \Delta y = \Delta x \cdot \tan \theta \Rightarrow \text{Revenue Change} = \Delta x \cdot \tan \theta \cdot 1000 \] Hence, combining both allows calculation of revenue changes and their ratio.

The table given below provides the details of monthly sales (in lakhs of rupees) and the value of products returned by the customers (as a percentage of sales) of an e-commerce company for three product categories for the year 2024. Net sales (in lakhs of rupees) is defined as the difference between sales (in lakhs of rupees) and the value of products returned (in lakhs of rupees).

A pie chart shows the distribution of students across 5 faculties in a university. If 20% are in Arts, 25% in Science, 15% in Law, 30% in Engineering, and the rest in Commerce, what is the angle (in degrees) for Commerce?
The plots below depict and compare the average monthly incomes (in Rs. ’000) of males and females in ten cities of India in the years 2005 and 2015. The ten cities, marked A-J in the records, are of different population sizes. For a fair comparison, to adjust for inflation, incomes for both the periods are scaled to 2025 prices. Each red dot represents the average monthly income of females in a particular city in a particular year, while each blue dot represents the average monthly income of males in a particular city in a particular year. The gender gap for a city, for a particular year, is defined as the absolute value of the average monthly income of males, minus the average monthly income of females, in that year.