| Revenue(in Rs. Lakhs ) | ||||
|---|---|---|---|---|
| Year | P | Q | R | S |
| 2015 | 150 | 125 | 150 | 100 |
| 2016 | 175 | 140 | 160 | 120 |
| 2017 | 200 | 180 | 180 | 140 |
| 2018 | 250 | 210 | 200 | 170 |
| 2019 | 250 | 220 | 240 | 180 |
| Revenue(in Rs. Lakhs ) | ||||
|---|---|---|---|---|
| Year | P | Q | R | S |
| 2015 | 150 | 125 | 150 | 100 |
| 2016 | 175 | 140 | 160 | 120 |
| 2017 | 200 | 180 | 180 | 140 |
| 2018 | 250 | 210 | 200 | 170 |
| 2019 | 250 | 220 | 240 | 180 |
We have four companies, and during 2014 to 2015, three experienced a 25% revenue increase, while one experienced a 50% increase. The total increase across these companies was Rs. 125 lakhs. Let's solve to find which scenario cannot be true.
Let the revenues of companies P, Q, R, and S in 2014 be represented by \( P_{2014}, Q_{2014}, R_{2014}, \) and \( S_{2014} \). The revenue increases are:
The total revenue increase, Rs. 125 lakhs, is the sum of these:
\(0.25P_{2014} + 0.25Q_{2014} + 0.25R_{2014} + 0.5S_{2014} = 125\)
Rearrange to: (1)
\(0.25(P_{2014} + Q_{2014} + R_{2014}) + 0.5S_{2014} = 125\)
Assume \(0.25(P_{2014} + Q_{2014} + R_{2014} + 2S_{2014}) = 125\)
Thus:
\(P_{2014} + Q_{2014} + R_{2014} + 2S_{2014} = 500\)
To solve, let's consider the possible scenarios proposed in the options:
The scenario listed as "From 2014 to 2015, the increases in revenues of at least two companies were the same" cannot be ruled out, as these could and are likely to be the same due to equal percentage increases. However, given the problem, observed from equations, and exploring the scenarios, each outcome is possible, and hence, this statement cannot be true that their increases were distinctly different when considering equal percentage increases could impact multiple.
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