Secondary 4 Geography Fieldwork Quiz

Secondary 4 Geography Quiz - Fieldwork (Answer Key)

Total Marks: 40

Section A: Research Design and Data Collection

1. Hypothesis Statement

• Answer: Any valid, testable statement linking location/variable to pedestrian flow.
  • Example: "Pedestrian flow is higher in the CBD during peak hours than in off-peak hours."
  • Example: "Pedestrian flow decreases as distance from the MRT station increases."
• Marking: [1] for a clear, testable hypothesis.

2. Systematic Sampling Advantage

• Answer:
  • It ensures even coverage of the study area/transect [1].
  • It reduces bias compared to random sampling, which might cluster points in one area or miss key zones [1].
• Marking: [1] for even coverage/unbiased spread, [1] for explanation/comparison.

3. Human Error in Data Collection

• Answer:
  • Error: Double-counting the same person, missing people in a crowd, or fatigue leading to missed clicks [1].
  • Minimization: Use two counters to cross-check, take short breaks, or define clear counting boundaries (e.g., only count people crossing a specific line) [1].
• Marking: [1] for valid error, [1] for relevant minimization strategy.

4. Environmental Quality Survey (EQS) Factors

• Answer: Any two physical/environmental factors.
  • Examples: Noise level, air quality/smell, litter/rubbish amount, greenery/vegetation cover, building condition [1 each].
• Marking: [1] for each valid factor. Max 2.

5. Pilot Testing Questionnaires

• Answer: To identify ambiguous or confusing questions [1] and ensure the data collected is relevant to the hypothesis before full deployment.
• Marking: [1] for identifying issues/clarity.

6. Primary Data Definition

• Answer: Data collected firsthand by the student/researcher specifically for the investigation [1].
• Marking: [1] for "firsthand" or "collected by student".

7. Equipment for River Width

• Answer: Measuring tape [1] (or clinometer if measuring slope, but question asks for width).
• Marking: [1] for correct equipment.

Section B: Data Processing and Presentation

8. Mean Calculation

• Working: $(78 + 82 + 80) \div 3$ [1]
• Answer: $240 \div 3 = 80$ dB [1]
• Marking: [1] for working, [1] for correct answer.

9. Range Calculation

• Range Site A: $48 - 42 = 6$ [1]
• Range Site C: $55 - 50 = 5$ [1]
• Highest Range Site: Site A (6 > 5) [1]
  • Note: Site B range is $82-78=4$. Site A is highest.
• Marking: [1] for each correct calculation/identification.

10. Graph Type for Categorical Data

• Graph Type: Bar Graph [1] (or Pie Chart if showing proportions of total).
• Reason: Suitable for comparing discrete categories (types of shops) [1].
• Marking: [1] for graph type, [1] for reason linked to data type.

11. Bar Graph Completion

• Answer: Bars drawn accurately to scale for 15,000 and 22,000 [1]. Labels/Y-axis scale consistent [1].
• Marking: [1] for accuracy, [1] for presentation/scale.

12. Title and Key Importance

• Answer:
  • Title provides context on what the data represents (what, where, when) [1].
  • Key/Legend explains symbols/colors, allowing the reader to interpret the data correctly [1].
• Marking: [1] for each explanation.

13. Line Graph for River Velocity

• Answer: Line graphs are used to show continuous change [1] or trends over a distance (source to mouth) [1].
• Marking: [1] for "continuous change/trend", [1] for context.

14. Vertical Exaggeration

• Answer: To make subtle changes in relief/slope more visible [1] because horizontal distances are usually much larger than vertical heights [1].
• Marking: [1] for visibility, [1] for scale difference explanation.

Section C: Data Analysis and Interpretation

15. Trend Description

• Answer: As distance from the city center increases [1], land value decreases [1]. (Negative correlation).
• Marking: [1] for identifying variables, [1] for direction of relationship.

16. Geographical Reason for Trend

• Answer:
  • Accessibility is higher in the CBD [1], leading to higher demand for land and thus higher prices [1].
  • Alternative: Competition for space is highest in the city center.
• Marking: [1] for factor (accessibility/demand), [1] for link to value.

17. Limitation of Single Day Data

• Answer:
  • Data may not be representative of typical conditions [1].
  • Weather, special events, or day of the week (weekday vs. weekend) could skew results [1].
• Marking: [1] for representativeness, [1] for specific factor (weather/time).

18. Beach Slope Difference

• Answer:
  • Site A may have larger sediment (shingle/pebbles) which creates a steeper slope due to higher friction/permeability [1].
  • Site B may have finer sand which packs tightly, creating a gentler slope [1].
  • Alternative: Wave type (constructive vs. destructive).
• Marking: [1] for factor, [1] for explanation of mechanism.

19. Importance of Anomalies

• Answer:
  • Anomalies may indicate errors in data collection [1] or unique local factors that need further investigation [1].
  • Ignoring them can skew the mean/average.
• Marking: [1] for error identification, [1] for impact on analysis.

Section D: Evaluation and Conclusion

20. Evaluation of Questionnaires

• Strength (2 marks):
  • Allows collection of qualitative data/opinions that cannot be measured physically [1].
  • Can reach a large number of people quickly if designed well [1].
• Weakness (2 marks):
  • Response bias: People may lie or give socially desirable answers [1].
  • Low response rate: Many people may refuse to participate, leading to unrepresentative data [1].
• Conclusion (1 mark):
  • Questionnaires are useful for social data but must be combined with other methods (triangulation) to ensure reliability [1].
• Marking: [2] for strength with explanation, [2] for weakness with explanation, [1] for balanced conclusion.