Quantitative Evidence Questions for Digital SAT (Personalized)
Home > digital SAT course > command of evidence > quantitative evidence
Quantitative Evidence Questions for Digital SAT personalized to be related to Thailand.
Digital SAT Command of Evidence: Quantitative
(Thai Context)
- Question 1 Level 1 Stage 1 (IELTS 5.0–5.5) – Direct Support
- Question 2 Level 1 Stage 2 (IELTS 5.5–6.0) – Identify Trend
- Question 3 Level 1 Stage 3 (IELTS 6.0–6.5) – Contradictory Evidence
- Question 4 Level 2 Stage 4 (IELTS 6.5–7.0) – Correlation Analysis
- Question 5 Level 2 Stage 5 (IELTS 7.0–7.5) – Complex Inference
- Question 6 Level 3 Stage 6 (IELTS 8.0+) – SAT-Level Nuance
Level 1 - Question 1
Passage:
A Thai study claims that more sleep improves test scores. The table shows students’ average sleep hours and scores.
Sleep (hours) | Test Score (%) |
6 | 70 |
8 | 90 |
Question:
Does the data support the study’s claim?
A) No, scores decreased with more sleep.
B) Yes, scores rose as sleep increased.
C) No, sleep and scores are unrelated.
D) Yes, but only for 6 hours of sleep.
Level 1 - Question 2
Passage:
A restaurant owner says, ‘More tourists visit Phuket in December.’ The graph shows monthly tourist arrivals.
(Imagine: December = 50K, other months = 20K–30K)*
Question:
What does the graph suggest about the owner’s claim?
A) It is false; arrivals peak in June.
B) It is true; December has the highest bars.
C) It is inconclusive; data is inconsistent.
D) It is exaggerated; December is only slightly higher.
Level 1 - Question 3
Passage:
A news article states, ‘Thai farmers use less fertilizer now.’ The table shows fertilizer use (kg/hectare) from 2020–2023.
Year | Fertilizer Use |
2020 | 100 |
2023 | 120 |
Question:
Does the data contradict the article’s claim?
A) No, use remained stable.
B) Yes, use increased by 20 kg.
C) No, use decreased slightly.
D) Yes, but only after 2022.
Level 2 - Question 4
Passage:
A researcher claims Bangkok’s air pollution worsens during traffic jams. The scatterplot compares traffic duration (hours) and PM2.5 levels (µg/m³).
*(Imagine: Points slope upward—longer jams = higher PM2.5)*
Question:
Which conclusion is justified?
A) Traffic reduces pollution.
B) No link exists between traffic and pollution.
C) Longer traffic jams correlate with higher pollution.
D) Pollution causes traffic jams.
Level 2 - Question 5
Passage:
Marine biologists argue that protecting coral reefs boosts fish populations. The graph shows reef protection status (protected vs. unprotected) and fish counts per 100m².
*(Imagine: Protected reefs = 200 fish, unprotected = 50 fish)*
Question:
Which statement would the biologists likely agree with?
A) Fishing bans have no impact on fish numbers.
B) Unprotected reefs have more fish due to tourism.
C) Protected reefs support larger fish populations.
D) Fish counts are unreliable in protected areas.
Level 3 - Question 6
Passage:
“An economist claims Thailand’s durian exports drive up local prices. The table shows export volume (tons) and local price (USD/kg) over 5 years.”
Year | Exports | Price |
2019 | 1,000 | 5 |
2023 | 3,000 | 8 |
Question:
Which additional data would strengthen the economist’s claim?
A) Global durian demand remained stable.
B) Local durian production decreased.
C) Export taxes were lowered in 2021.
D) Prices fell in Malaysia during the same period.
Question 1 – B) Yes, scores rose as sleep increased. (Direct positive correlation: 8hrs → 90%.)
Question 2 – B) It is true; December has the highest bars. (Direct data match.)
Question 3 – B) Yes, use increased by 20 kg. (120 > 100 contradicts “use less.”)
Question 4 – C) Longer traffic jams correlate with higher pollution. (Positive correlation in scatterplot.)
Question 5 – C) Protected reefs support larger fish populations. (Data shows 200 > 50 fish.)
Question 6 – B) Local durian production decreased. (Explains why exports could raise local prices: less supply → higher prices.)