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O Level Geography Practice Paper 3

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Questions

TuitionGoWhere Exam Practice (AI)

Subject: Geography
Level: O-Level (2279)
Paper: Practice Paper - Map, Graph & Data Skills (Version 3 of 5)
Duration: 1 Hour
Total Marks: 40
Name: __________________________
Class: __________________________
Date: __________________________

Instructions to Candidates

Answer all questions.
Write your answers in the spaces provided.
You may use a calculator for calculations.
Marks are indicated in brackets [ ] at the end of each question or part question.
This paper focuses on Map, Graph & Data Skills (AO2) across various geographical contexts.

Section A: Data Representation and Interpretation

Answer all questions in this section.

1. A group of students measured the infiltration rate of water (in mm/min) at three different land use sites: a concrete car park, a grassy field, and a sandy beach.

Suggest the most appropriate type of graph to display the infiltration rates at these three locations on a single chart. Give one reason for your choice.

Graph Type: __________________________________________________________________

Reason: _______________________________________________________________________

[2]

2. Study the table below, which shows the average monthly rainfall (mm) for Station A and Station B.

Month	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
Station A	20	15	30	60	120	200	250	230	180	90	40	25
Station B	10	10	10	10	10	10	10	10	10	10	10	10

Describe two differences in the rainfall patterns between Station A and Station B.

[2]

3. The students conducted a survey to assess the environmental quality of a river at five sites downstream from a factory. They used a biotic index score (higher score = cleaner water).

Site	Distance from Factory (km)	Biotic Index Score
1	0.5	2
2	1.0	3
3	2.0	5
4	3.0	7
5	4.0	8

Calculate the mean biotic index score for the five sites. Show your working.

Working:

Mean Score: _______________ [2]

4. Study Figure 1, a scatter graph showing the relationship between distance from the Central Business District (CBD) and land value in a specific city.

(Imagine a scatter graph where points generally trend downwards from left to right, but with some outliers high up at 5km and 8km)

Describe the general relationship shown in Figure 1.

[2]

5. Refer to Figure 1 in Question 4. Identify one anomaly (outlier) in the data and suggest a geographical reason why land value might be high at that specific distance from the CBD.

Anomaly Location: ___________________________________________________________

Reason: _____________________________________________________________________

[2]

Section B: Fieldwork Data Analysis

Answer all questions in this section.

6. Students investigated the impact of tourism on a coastal village. They asked residents to rate their agreement with the statement: "Tourism has improved my quality of life" on a Likert scale.

The responses were:

Strongly Agree: 10 people
Agree: 15 people
Neutral: 5 people
Disagree: 8 people
Strongly Disagree: 2 people

Describe how the students could calculate a weighted score to quantify the overall sentiment. Assign numerical values to each category in your explanation.

[3]

7. Using the data in Question 6, calculate the total weighted score if:

Strongly Agree = +2
Agree = +1
Neutral = 0
Disagree = -1
Strongly Disagree = -2

Working:

Total Weighted Score: _______________ [3]

8. The students also measured noise levels (in decibels, dB) at the village center at 10:00 AM and 8:00 PM over five days.

Day	10:00 AM (dB)	8:00 PM (dB)
Mon	65	45
Tue	70	50
Wed	68	48
Thu	72	55
Fri	85	60

Calculate the range of noise levels recorded at 10:00 AM.

Working:

Range: _______________ dB [2]

9. Evaluate the reliability of the noise level data collected in Question 8. Consider the sample size and timing in your answer.

[4]

10. The students plotted the noise data on a line graph. Explain why a line graph is an appropriate choice for this specific dataset (noise levels over five consecutive days).

[2]

Section C: Map and Photograph Skills

Answer all questions in this section.

11. Study the description of a map extract below:

Contour interval: 20 meters.
Spot height at Point X: 145m.
Spot height at Point Y: 85m.
Horizontal distance between X and Y: 2 km.

Calculate the gradient of the slope between Point X and Point Y. Express your answer as a ratio (1 : n).

Working:

Gradient: 1 : _______________ [3]

12. Study Photograph A (described below):

Description: A coastal area showing a steep cliff face on the left, a wave-cut platform at the base, and a stack isolated in the sea to the right. The rock layers are horizontal.

Identify two erosional landforms visible in the description of Photograph A.

[2]

13. Refer to Photograph A in Question 12. Explain how the stack was formed. Use geographical terminology in your answer.

[4]

14. On a topographic map, a river flows from Grid Reference 123456 to Grid Reference 128451. Determine the general direction of flow of the river.

Direction: ____________________________________________________________________ [1]

15. The map scale is 1:50,000. A measured distance on the map between two villages is 8 cm. Calculate the actual ground distance in kilometers.

Working:

Actual Distance: _______________ km [2]

Section D: Statistical Analysis and Evaluation

Answer all questions in this section.

16. A student calculated the Spearman’s Rank Correlation Coefficient for the relationship between river width and depth. The result was +0.85.

Interpret this result.

[2]

17. Another student calculated a Spearman’s Rank value of -0.10 for the relationship between vegetation cover and soil moisture.

What does this value suggest about the relationship?

[2]

18. Students collected primary data on pedestrian counts in a shopping district. They stood at one corner for 15 minutes on a Tuesday morning.

Critique this data collection method. Identify two limitations that affect the validity of their conclusions about overall pedestrian traffic.

[4]

19. To improve the validity of the pedestrian count in Question 18, suggest two changes to the methodology.

[2]

20. A graph shows CO2 emissions rising steadily from 1990 to 2020, while global temperature shows a fluctuating but upward trend.

A student concludes: "The graph proves that CO2 causes global warming."

Evaluate this conclusion. Why is correlation not the same as causation in this context?

[4]

END OF PAPER

Answers

TuitionGoWhere Exam Practice (AI) - Answer Key

Subject: Geography
Level: O-Level (2279)
Paper: Practice Paper - Map, Graph & Data Skills (Version 3 of 5)

Section A: Data Representation and Interpretation

1. Graph Type and Reason [2]

Graph Type: Bar chart (or grouped bar chart). [1]
Reason: The data is categorical (different land use sites) rather than continuous time-series. A bar chart allows for easy visual comparison of discrete categories. [1]
- Note: Line graph is incorrect as the x-axis is not continuous time or distance.

2. Rainfall Differences [2]

Difference 1: Station A has a distinct wet season (high rainfall in Jun-Aug) and dry season, whereas Station B has uniform/constant rainfall throughout the year. [1]
Difference 2: Station A has a much higher total annual rainfall (approx. 1260mm) compared to Station B (120mm). OR Station A has a much larger range in monthly rainfall. [1]

3. Mean Biotic Index [2]

Working: Sum of scores = $2 + 3 + 5 + 7 + 8 = 25$ . [1] Mean = $25 / 5 = 5$ . [1]
Mean Score: 5

4. Relationship Description [2]

There is a negative correlation [1]. As distance from the CBD increases, land value generally decreases. [1]

5. Anomaly and Reason [2]

Anomaly: A point with high land value at 5km or 8km (far from CBD). [1]
Reason: Presence of a sub-center/shopping mall, good transport connectivity (e.g., MRT station), or scenic view/low density housing area which drives up price despite distance. [1]

Section B: Fieldwork Data Analysis

6. Weighted Score Method [3]

Assign numerical values to each Likert scale response (e.g., Strongly Agree = +2, Agree = +1, Neutral = 0, Disagree = -1, Strongly Disagree = -2). [1]
Multiply the number of respondents in each category by its assigned numerical value. [1]
Sum the total positive scores and total negative scores (or sum all weighted values) to get a net score representing overall sentiment. [1]

7. Calculation of Weighted Score [3]

Working:
- Strongly Agree: $10 \times 2 = 20$
- Agree: $15 \times 1 = 15$
- Neutral: $5 \times 0 = 0$
- Disagree: $8 \times -1 = -8$
- Strongly Disagree: $2 \times -2 = -4$
- Total: $20 + 15 + 0 - 8 - 4 = 23$ [2 for correct working/steps, 1 for final answer]
Total Weighted Score: 23

8. Range Calculation [2]

Working: Highest value (85) - Lowest value (65). [1] $85 - 65 = 20$ . [1]
Range: 20 dB

9. Reliability Evaluation [4]

Limitation 1 (Sample Size/Duration): Data was collected over only 5 days. This is a small sample size and may not represent typical noise levels over a longer period (e.g., seasonal variations). [1+1]
Limitation 2 (Timing): Measurements were taken only at two specific times (10am and 8pm). This misses peak hours (e.g., rush hour at 5pm) or night-time noise, limiting the representativeness of the "daily" noise profile. [1+1]
- Award marks for identifying the issue and explaining why it affects reliability.

10. Graph Choice Justification [2]

A line graph is appropriate because it shows changes in data over a continuous period (time/days). [1]
It allows for the visualization of trends and fluctuations in noise levels from day to day. [1]

Section C: Map and Photograph Skills

11. Gradient Calculation [3]

Working:
- Difference in height (Rise) = $145m - 85m = 60m$ . [1]
- Horizontal distance (Run) = 2 km = 2000 m. [1]
- Gradient = Rise / Run = $60 / 2000$ .
- Simplify: $6 / 200 = 3 / 100$ .
- Ratio: 1 : 33.3 (or approx 1:33). [1]
Gradient: 1 : 33.3 (Accept 1:33)

12. Landform Identification [2]

1. Cliff [1]
1. Stack (or Wave-cut platform) [1]

13. Formation of Stack [4]

Hydraulic action and abrasion attack weaknesses (cracks/faults) in the headland. [1]
This forms a cave, which erodes through the headland to form an arch. [1]
The roof of the arch collapses due to gravity/weathering, leaving an isolated pillar of rock. [1]
This isolated pillar is the stack. [1]

14. Direction of Flow [1]

Grid 123456 to 128451.
Easting increases (123 -> 128) = East.
Northing decreases (456 -> 451) = South.
Direction: South-East (SE). [1]

15. Distance Calculation [2]

Working:
- Map distance = 8 cm.
- Scale 1:50,000 means 1 cm = 50,000 cm = 0.5 km. [1]
- $8 \times 0.5 \text{ km} = 4 \text{ km}$ . [1]
Actual Distance: 4 km

Section D: Statistical Analysis and Evaluation

16. Interpretation of +0.85 [2]

It indicates a strong positive correlation. [1]
As river width increases, depth also tends to increase significantly. [1]

17. Interpretation of -0.10 [2]

It indicates a very weak negative correlation (or no significant correlation). [1]
There is little to no relationship between vegetation cover and soil moisture in this dataset. [1]

18. Methodology Critique [4]

Limitation 1: Single location (one corner) does not represent the whole shopping district. Pedestrian flow may vary at different entrances/streets. [1+1]
Limitation 2: Single time (Tuesday morning) is not representative. It misses weekend peaks, evening shopping, or weekday lunch rushes. [1+1]

19. Methodology Improvements [2]

1. Conduct counts at multiple locations/entrances across the district. [1]
1. Conduct counts at different times of the day and different days of the week (including weekends). [1]

20. Correlation vs Causation [4]

The graph shows that the two variables move together (correlation), but it does not prove that one causes the other. [1]
There could be other contributing factors (confounding variables) such as solar activity, volcanic eruptions, or natural climate cycles that influence temperature. [1]
Scientific proof requires understanding the physical mechanism (greenhouse effect), not just statistical trends. [1]
Therefore, while the data supports the hypothesis, it does not "prove" causation on its own. [1]