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O Level Geography Practice Paper 4
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Questions
TuitionGoWhere Practice Paper - Geography O-Level (Map, Graph & Data Skills)
TuitionGoWhere Exam Practice (AI)
Subject: Geography (2279)
Level: O-Level
Paper: Practice Paper 4 of 5 (Skills Focus)
Duration: 1 Hour 15 Minutes
Total Marks: 40
Name: __________________________
Class: __________________________
Date: __________________________
Instructions to Candidates
- Answer all questions.
- Write your answers in the spaces provided.
- You may use a calculator.
- Marks are indicated in brackets [ ] at the end of each question or part question.
- This paper focuses on Map, Graph, and Data Skills (AO2) derived from Fieldwork, Climate, and Tourism contexts.
Section A: Data Collection and Representation (10 Marks)
1. A group of students is conducting fieldwork to investigate the variation in microclimate within a local park. They plan to measure air temperature at five different locations.
(a) Identify one instrument suitable for measuring air temperature. [1]
(b) The students want to ensure their data is reliable. Suggest two precautions they should take when using the instrument to ensure accurate readings. [2]
2. The students recorded the number of visitors entering the park every hour from 08:00 to 18:00 on a Saturday. The data is shown in Table 1.
Table 1: Visitor Numbers (Saturday)
| Time | 08:00 | 10:00 | 12:00 | 14:00 | 16:00 | 18:00 |
|---|---|---|---|---|---|---|
| Visitors | 45 | 120 | 210 | 195 | 150 | 80 |
(a) Describe the trend in visitor numbers from 08:00 to 18:00. [2]
(b) Suggest the most appropriate type of graph to display this data to show the change over time. Give one reason for your choice. [2]
Graph Type: ______________________________________________________________
Reason: __________________________________________________________________
(c) On the grid below, plot the data from Table 1. [3]
(Note: In a real exam, a grid would be provided. Here, describe the key features your plot must have.)
- Label the X-axis: ______________________________________________________
- Label the Y-axis: ______________________________________________________
- Plot points correctly and join them with: __________________________________
Section B: Graphical Interpretation and Analysis (15 Marks)
3. Study Figure 1, which shows the monthly rainfall and temperature data for two cities, City A (Equatorial) and City B (Monsoon).
(Imagine Figure 1: A dual-axis graph. Left axis: Temperature (°C) 0-35. Right axis: Rainfall (mm) 0-300. X-axis: Jan-Dec. City A: Temp line flat at ~27°C, Rain bars high all year ~200mm. City B: Temp line peaks at 30°C in May, Rain bars very high Jun-Sep, low Dec-Feb.)
(a) State the highest monthly rainfall recorded for City B. [1]
_________________________________________________________________________ mm
(b) Compare the annual temperature range of City A and City B. [2]
City A: __________________________________________________________________
City B: __________________________________________________________________
(c) Explain why City A has a smaller annual temperature range than City B. [2]
4. Study Figure 2, a scatter graph showing the relationship between distance from the Central Business District (CBD) and land value in a selected city.
(Imagine Figure 2: Scatter graph. X-axis: Distance from CBD (km) 0-10. Y-axis: Land Value ($ per sq m) 0-10,000. Points show a strong negative correlation: high value near 0km, low value near 10km, with some outliers.)
(a) Describe the relationship shown in Figure 2. [2]
(b) Identify one anomaly (outlier) on the graph and suggest a possible geographical reason for its existence. [2]
Anomaly location (approx distance): ________________________________________
Reason: __________________________________________________________________
(c) The students calculated the Spearman’s Rank Correlation Coefficient for this data and obtained a value of -0.85.
What does this value indicate about the strength and direction of the relationship? [2]
Strength: ________________________________________________________________
Direction: _______________________________________________________________
5. A tourism study surveyed 100 tourists on their satisfaction with local transport. The results were processed using a weighted scoring system.
Table 2: Satisfaction Survey Results
| Response | Weight | Frequency |
|---|---|---|
| Very Satisfied | +2 | 30 |
| Satisfied | +1 | 40 |
| Dissatisfied | -1 | 20 |
| Very Dissatisfied | -2 | 10 |
(a) Calculate the total positive score for the survey. Show your working. [2]
Working:
Total Positive Score: _______________
(b) Calculate the net satisfaction score for the survey. Show your working. [2]
Working:
Net Score: _______________
(c) Based on the net score, evaluate the overall tourist satisfaction with local transport. [2]
Section C: Fieldwork Methodology and Evaluation (15 Marks)
6. Students investigated the impact of tourism on a coastal beach. They used a bi-polar evaluation sheet to assess environmental quality at 10 sites along the beach.
(a) Explain what a bi-polar evaluation sheet is and how it is used in fieldwork. [2]
(b) The students decided to use systematic sampling to select their 10 sites.
Describe how they could have applied systematic sampling in this investigation. [2]
(c) Evaluate the reliability of using a bi-polar evaluation sheet for this study.
In your answer, consider:
- The subjectivity of the data.
- The consistency of different student groups. [4]
7. Another group studied river velocity. They used the float method (timing a floating object over a 10m stretch) at 5 different points across the river channel.
(a) Identify two variables that must be kept constant (controlled) to ensure the test is fair, other than the distance measured. [2]
(b) The results showed significant variation in velocity across the channel.
Suggest one way the students could improve the accuracy of their velocity measurements. [1]
(c) "The float method is unreliable for measuring river velocity."
To what extent do you agree with this statement? Support your answer with reasons. [4]
END OF PAPER
Answers
TuitionGoWhere Practice Paper - Geography O-Level (Map, Graph & Data Skills)
Answer Key and Marking Scheme
Version: 4 of 5
Total Marks: 40
Section A: Data Collection and Representation (10 Marks)
1. (a) Thermometer (or Maximum-Minimum Thermometer / Digital Thermometer). [1]
(Note: Weather tracker is not an instrument name; be specific.)
1. (b) Any two of the following: [2]
- Place the thermometer in a Stevenson Screen (or shaded area) to avoid direct sunlight.
- Ensure the thermometer is at standard height (e.g., 1.2m above ground).
- Wait for the reading to stabilize before recording.
- Ensure the bulb is not touching the ground or other objects.
- Read at eye level to avoid parallax error.
2. (a) Description of trend: [2]
- Visitor numbers increase rapidly from 08:00 (45) to a peak at 12:00 (210). [1]
- After 12:00, numbers decrease steadily to 18:00 (80). [1]
(Must quote data to support description for full marks.)
2. (b) Graph Type and Reason: [2]
- Graph Type: Line Graph (or Line Chart). [1]
- Reason: It is best for showing continuous change or trends over time. [1]
(Bar chart is acceptable if justified as comparing discrete hourly blocks, but Line Graph is preferred for time-series continuity.)
2. (c) Plotting Features: [3]
- X-axis Label: Time (or Hour of Day). [1]
- Y-axis Label: Number of Visitors (or Visitor Count). [1]
- Join points with: Straight lines (or smooth curve, but straight lines are standard for this data type in O-Level). [1]
Section B: Graphical Interpretation and Analysis (15 Marks)
3. (a) Highest monthly rainfall for City B: [1]
- Accept any value between 250mm - 300mm (depending on visual interpretation of the imagined graph, typically the peak of the monsoon season). Marker Note: In a real exam, the graph would have precise grid lines. Accept reasonable estimate.
3. (b) Comparison of Annual Temperature Range: [2]
- City A: Very small range (approx. 1-2°C) / Constant temperature. [1]
- City B: Larger range (approx. 5-10°C) / Seasonal variation. [1]
3. (c) Explanation for City A's smaller range: [2]
- City A is located near the Equator. [1]
- It receives consistent high insolation (sunlight intensity) and day length throughout the year, leading to uniform heating. [1]
(City B has seasonal variation due to tilt of earth/monsoon shifts.)
4. (a) Relationship Description: [2]
- There is a negative (or inverse) correlation. [1]
- As distance from the CBD increases, land value decreases. [1]
4. (b) Anomaly and Reason: [2]
- Anomaly: A point with high land value far from the CBD (e.g., at 8km) OR low land value close to the CBD. [1]
- Reason:
- If high value far out: Presence of a shopping mall, transport hub, or prestigious housing estate. [1]
- If low value close in: Industrial zone, derelict land, or poor accessibility. [1]
4. (c) Spearman’s Rank Interpretation: [2]
- Strength: Strong correlation (close to -1). [1]
- Direction: Negative (inverse) relationship. [1]
5. (a) Total Positive Score Calculation: [2]
- Working:
- Very Satisfied:
- Satisfied:
- Total: [1 for working, 1 for answer]
- Answer: 100
5. (b) Net Satisfaction Score Calculation: [2]
- Working:
- Negative Score:
- Net Score:
- Alternatively: . [1 for working, 1 for answer]
- Answer: +60
5. (c) Evaluation of Satisfaction: [2]
- The net score is positive (+60), indicating that overall, tourists are satisfied. [1]
- However, since the maximum possible score is , the score is only 30% of the maximum, suggesting satisfaction is moderate rather than excellent, or that there is a significant minority (30%) who are dissatisfied. [1]
Section C: Fieldwork Methodology and Evaluation (15 Marks)
6. (a) Bi-polar Evaluation Sheet Explanation: [2]
- It is a data collection tool that records opinions or observations on a scale between two opposite extremes (e.g., Very Attractive to Very Unattractive). [1]
- It allows qualitative data (environmental quality) to be quantified for analysis. [1]
6. (b) Systematic Sampling Application: [2]
- Select sites at regular intervals along the beach. [1]
- Example: Measure every 50 meters, or every 100 steps, from one end of the beach to the other. [1]
6. (c) Evaluation of Reliability: [4]
- Subjectivity: The data is subjective because different students may interpret "litter" or "noise" differently. One student’s "clean" might be another’s "dirty." This reduces reliability. [2]
- Consistency: To improve reliability, students should use clear criteria (e.g., "more than 5 pieces of litter = dirty") or have the same student assess all sites. If different groups assess different sites without calibration, consistency is low. [2]
(Marking: 1 mark per valid point, up to 4. Must address both subjectivity and consistency.)
7. (a) Controlled Variables: [2]
Any two of:
- The same float object (size/shape/buoyancy). [1]
- The same depth of water (if measuring surface velocity, ensure float isn't stuck).
- Time of day (to control for wind/tide effects).
- Same section of the river (straight vs meander).
7. (b) Improvement for Accuracy: [1]
- Repeat the measurement 3 times at each point and calculate the mean (average). [1]
- OR use a flow meter (digital current meter) instead of a float.
7. (c) Evaluation of Float Method: [4]
- Agree (Unreliable):
- Wind can blow the float, affecting speed (not just river current). [1]
- The float may get stuck on debris or vegetation, giving false low readings. [1]
- It only measures surface velocity, which is faster than the average velocity of the whole channel. [1]
- Disagree (Reliable enough):
- It is a simple, low-cost method suitable for student fieldwork. [1]
- If repeated and averaged, it can provide a reasonable estimate for comparative purposes.
- Conclusion: The method has limitations but is acceptable for school-level fieldwork if limitations are acknowledged and mitigated (e.g., by repeating). [1 for balanced judgement]
(Award marks for reasoned arguments on both sides. Max 4 marks.)
END OF MARKING SCHEME