Look at the table below:
: Jan profit = 120 – 90 = 30. Mar profit = 150 – 100 = 50. Increase = (50 – 30)/30 × 100 = 20/30 × 100 ≈ 66.7% — Not in options? Wait, check: Actually (50-30)/30 = 66.7%, but if they meant profit margin : (50/150) vs (30/120) — no. Likely a trick: some tests use “profit increase” absolute: 50/30 = 1.667 → not matching. Let’s recompute: (50-30)/30 = 66.7% — none of above. Possibly misprint? In real PCG, answer might be “None” or they expect 200%? No. Better: If they ask by what percent did profit increase from Jan to Mar? → (20/30)*100 = 66.7%. Since not there, maybe table numbers differ. For practice, correct is 66.7%. But if forced: 200% would mean profit tripled (30→90). So answer none . Always check logic. 2. Verbal Reasoning Statement : “PCG’s data analytics team must verify all client data before running predictive models. Without verification, model outputs are unreliable.” pcg aptitude battery test sample
: $180 × 24.5 = $4,410. 10% discount = $441. Final = $4,410 – $441 = $3,969 → A . Look at the table below: : Jan profit = 120 – 90 = 30
: Which of the following can be logically inferred? A) Verified data guarantees reliable model outputs. B) Unverified data may lead to unreliable outputs. C) Predictive models are never run without verification. D) Verification is the only step needed for reliability. Wait, check: Actually (50-30)/30 = 66