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O Level Geography Practice Paper 4

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O Level Geography AI Generated Generated by Qwen3.6 Plus Updated 2026-08-17

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TuitionGoWhere Practice Paper - Geography O-Level

TuitionGoWhere Practice Paper (AI)

Subject: Geography (2279)
Level: O-Level
Paper: Practice Paper - Map, Graph & Data Skills (Version 4 of 5)
Duration: 1 hour 15 minutes
Total Marks: 40

Name: __________________________
Class: __________________________
Date: __________________________

Instructions to Candidates

Write your Name, Class, and Date in the spaces provided.
Answer all questions.
Write your answers in the spaces provided on this question paper.
The number of marks is given in brackets [ ] at the end of each question or part question.
You may use a calculator for any calculations.
Sketch maps and diagrams should be drawn whenever they serve to clarify an answer.

Section A: Map Reading and Interpretation

Study the extract of a topographical map (Grid Reference system) provided in your exam booklet (simulated below) to answer Questions 1–5.

Context: The map extract shows a coastal region with a river valley, a settlement (Town A), and varying relief. Contour interval is 20 metres.

1. Study the grid square 4562. (a) Identify the landform feature located at grid reference 458623. [1]

(b) Calculate the area of the settlement shown in grid square 4661 in square kilometres, assuming the grid square represents 1 km² and the settlement occupies approximately 40% of the square. [1]

2. Describe the relief of the area in grid square 4463. Use specific evidence from the contour lines. [2]

3. Measure the straight-line distance between the church in grid square 4562 and the school in grid square 4764. Give your answer in kilometres. [1]

4. Explain the likely reason for the location of Town A at grid reference 4662, referring to both relief and drainage. [2]

5. A student claims that the river in the north-east of the map flows towards the south-west. (a) State whether this claim is correct. [1]

(b) Provide one piece of map evidence to support your answer. [1]

Section B: Graphical Techniques and Data Presentation

Answer Questions 6–10 based on the data scenarios provided.

6. The table below shows the monthly rainfall (mm) for Station X.

Month	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
Rainfall (mm)	210	180	150	120	90	60	40	50	80	130	190	220

(a) Calculate the annual range of rainfall for Station X. [1]

(b) Calculate the mean monthly rainfall. Show your working. [2]

7. Students collected data on pedestrian flow at three different sites (A, B, and C) over a 10-minute period.

Site A: 45 people
Site B: 120 people
Site C: 80 people

Suggest the most appropriate graphical technique to compare the pedestrian flow at these three sites. Give a reason for your choice. [2]

8. A group of students wants to show the change in temperature over a 24-hour period. (a) Identify the most suitable graph type. [1]

(b) Explain why a pie chart would be inappropriate for this data. [1]

9. Study the scatter graph data below showing the relationship between distance from the city centre (km) and land value ($ per m²).

Distance (km)	2	4	6	8	10	12
Land Value ($)	5000	4200	3100	2500	1800	1200

(a) Describe the relationship shown in the data. [1]

(b) Draw a line of best fit on the graph (imagined). What does this line help to identify? [1]

10. You are presenting data on the percentage composition of energy sources in Country Y:

Coal: 40%
Oil: 30%
Natural Gas: 20%
Renewables: 10%

Which graph type is best suited to show this data? [1]

Section C: Statistical Analysis and Fieldwork Data

Answer Questions 11–15 based on the fieldwork context.

Context: Students investigated the hypothesis: "Vegetation cover increases as distance from the polluted river bank increases." They used a quadrat method at 5-metre intervals up to 25 metres.

Data Table: Vegetation Cover (%)

Distance from Bank (m)	Sample 1	Sample 2	Sample 3	Mean
5	10	12	8	10
10	25	20	30	25
15	40	45	35	40
20	60	55	65	60
25	75	80	70	75

11. Calculate the mean vegetation cover at 10 metres. Show your working. [1]

12. Identify the anomaly in the data set, if any, and suggest a possible reason for it. [2]

13. The students decided to use systematic sampling every 5 metres. (a) Define systematic sampling. [1]

(b) State one advantage of systematic sampling over random sampling in this specific investigation. [1]

14. Evaluate the reliability of the data collected. Consider the sample size and method. [2]

15. The students plotted the mean vegetation cover against distance. (a) Describe the trend shown by the plotted data. [1]

(b) Does the data support the hypothesis? Explain your answer. [1]

Section D: Source-Based Data Interpretation

Study Figure 1 (simulated description) and answer Questions 16–20.

Figure 1: A climate graph for City Z showing average monthly temperature (line) and rainfall (bars).

Temperature: Ranges from 25°C (Jan) to 32°C (May), dropping to 26°C (Dec).
Rainfall: High throughout the year, with peaks in Nov (300mm) and Dec (350mm). Lowest in Feb (100mm).

16. State the highest monthly rainfall recorded for City Z. [1]

17. Calculate the annual temperature range for City Z. [1]

18. Describe the climate characteristics of City Z based on the data. [2]

19. A tourist wants to visit City Z for outdoor activities. Based on the data, suggest the best month to visit and give a reason. [2]

20. Compare the rainfall pattern of City Z with a typical Mediterranean climate (dry summer, wet winter). [2]

End of Paper

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Answers

TuitionGoWhere Practice Paper - Geography O-Level

Answer Key and Marking Scheme Paper: Practice Paper - Map, Graph & Data Skills (Version 4 of 5)

Section A: Map Reading and Interpretation

1. (a) Spot height / Triangulation station (depending on symbol convention, usually spot height if just a number). [1] (b) 0.4 km². (1 km² × 0.40 = 0.4 km²). [1]

Steep slope: Contour lines are close together. [1]
High relief/Elevation: Contour values are high (e.g., above 100m/200m depending on map). [1]
Note: Accept "Valley" if contours form V-shapes pointing upstream, but must cite contour spacing/shape.

Answer depends on scale, but typically 2.8 – 3.0 km (approximate diagonal across 2 grid squares). Allow ±0.1 km. [1]

Relief: Located on flat land (contours are widely spaced or absent), making construction easier. [1]
Drainage: Located near a river (water supply) but on higher ground/meander spur to avoid flooding. [1]

5. (a) Correct (or Yes). [1] (b) Evidence: Contour values decrease from North-East to South-West OR River flows from higher contour values to lower contour values. [1]

Section B: Graphical Techniques and Data Presentation

6. (a) 180 mm. (Highest 220 - Lowest 40 = 180). [1] (b) 125 mm.

Working: Sum of all months = 1500 mm.
1500 ÷ 12 = 125 mm. [2] (1 mark for sum, 1 mark for division).

Technique: Bar chart (or grouped bar chart). [1]
Reason: Data is categorical/discrete (Sites A, B, C) and not continuous. Bar charts allow easy comparison of magnitudes between distinct categories. [1]

8. (a) Line graph. [1] (b) Reason: Pie charts show parts of a whole (percentages/composition) at a single point in time. They cannot show trends or changes over continuous time. [1]

9. (a) Negative correlation / Inverse relationship. As distance increases, land value decreases. [1] (b) Identify the general trend / Average relationship, smoothing out anomalies. [1]

10.

Pie chart (or Divided bar graph). [1]

Section C: Statistical Analysis and Fieldwork Data

11.

25%.
Working: (25 + 20 + 30) ÷ 3 = 75 ÷ 3 = 25. [1]

12.

Anomaly: None strictly, but Sample 3 at 5m (8%) is slightly lower than Sample 1 (10%) and 2 (12%), or Sample 2 at 15m (45%) is higher. Accept any valid identification of a data point that deviates significantly from the trend if present.
Alternative Answer: If no clear anomaly, state "No obvious anomaly, data follows a consistent trend."
Reason: Human error in counting, patchy vegetation, or local micro-environment factor (e.g., rock/trample). [2] (1 for ID, 1 for reason).

13. (a) Definition: Selecting samples at regular intervals (e.g., every 5 metres). [1] (b) Advantage: Ensures even coverage of the study area; easier to execute than random sampling; captures the gradient/change systematically. [1]

14.

Reliability: Moderately reliable.
Strength: Three samples taken at each distance allows for calculation of a mean, reducing impact of outliers. [1]
Limitation: Only one transect line used; results may not be representative of the whole river bank (spatial bias). [1]

15. (a) Trend: Vegetation cover increases as distance from the bank increases. [1] (b) Support: Yes, the data shows a clear positive correlation (10% at 5m to 75% at 25m), supporting the hypothesis. [1]

Section D: Source-Based Data Interpretation

16.

350 mm (in December). [1]

17.

7°C. (32°C - 25°C = 7°C). [1]

18.

Hot/High Temperature: Temperatures are high year-round (25-32°C). [1]
Wet/Humid: High rainfall throughout the year, with no distinct dry season (lowest is 100mm). Likely Equatorial/Tropical Rainforest climate. [1]

19.

Month: February (or January/March). [1]
Reason: Lowest rainfall (100mm in Feb), reducing disruption to outdoor activities. Temperatures are still warm but slightly lower than peak May. [1]

20.

City Z: Rainfall is high year-round / No distinct dry season. [1]
Mediterranean: Has a distinct dry summer and wet winter. City Z does not follow this pattern. [1]