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Secondary 4 Geography Fieldwork Quiz
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Questions
Secondary 4 Geography Quiz - Fieldwork
Name: ________________________
Class: ________________________
Date: ________________________
Score: ______ / 50
Duration: 1 hour
Total Marks: 50
Instructions:
- This quiz contains 20 questions on the topic of Fieldwork (Geographical Investigation).
- Answer ALL questions in the spaces provided.
- Marks are indicated in brackets [ ].
- Read each question carefully before answering.
Section A: Research Design and Planning (Questions 1–5)
10 marks
1. A student wants to investigate whether there is a relationship between distance from the coast and land use in a coastal town. State a suitable hypothesis for this investigation. [2]
2. Explain why it is important to formulate a clear research question before conducting fieldwork. [2]
3. A group of students plans to investigate pedestrian traffic flow at different times of day in a shopping district. Suggest one research question they could investigate. [2]
4. State two reasons why a pilot study is useful before conducting the actual fieldwork. [2]
5. A student wants to study the impact of tourism on local businesses in a heritage area. Identify one independent variable and one dependent variable for this investigation. [2]
Section B: Data Collection Methods (Questions 6–10)
12 marks
6. Explain the difference between primary data and secondary data, giving one example of each. [3]
7. A student is investigating water quality in a river at five different locations. Describe one suitable method for collecting water samples and state one precaution that should be taken. [3]
8. Study the description below:
A researcher wants to survey 100 residents about their recycling habits. She stands outside a supermarket and interviews the first 100 people who agree to participate.
Identify the sampling method used and explain one limitation of this method. [2]
9. A student is conducting a questionnaire survey about park usage. Suggest two guidelines for designing effective questionnaire questions. [2]
10. Explain why it is important to record the date, time, and weather conditions when conducting outdoor fieldwork observations. [2]
Section C: Data Processing and Analysis (Questions 11–15)
13 marks
11. A student recorded the following data on the number of visitors at four tourist attractions:
| Attraction | Number of Visitors |
|---|---|
| Museum | 45 |
| Temple | 120 |
| Beach | 210 |
| Market | 75 |
Calculate the mean number of visitors. Show your working. [2]
12. Using the data in Question 11, calculate the percentage of total visitors that went to the Beach. Show your working and give your answer to one decimal place. [2]
13. A student collected pebble sizes (in mm) along a beach at three locations: Site A (near the cliff), Site B (mid-beach), and Site C (near the sea). The mean pebble sizes were: Site A = 85 mm, Site B = 42 mm, Site C = 18 mm.
Describe the trend shown by this data. [2]
14. A student wants to present data showing how land use changes along a 2 km transect from the city centre to the suburbs. Suggest the most appropriate graphical method to present this data and justify your choice. [3]
15. A student conducted a traffic count at two intersections and recorded the following data:
| Vehicle Type | Intersection X | Intersection Y |
|---|---|---|
| Cars | 156 | 89 |
| Motorcycles | 45 | 112 |
| Buses | 12 | 8 |
| Trucks | 23 | 41 |
Identify one similarity and one difference between the traffic composition at the two intersections. [2]
16. Explain how calculating the median can be more useful than calculating the mean when analysing fieldwork data that contains extreme values. [2]
Section D: Data Presentation and Evaluation (Questions 17–20)
15 marks
17. A student has collected data on noise levels (in decibels) at 10 locations in a neighbourhood. Explain why a bar graph would be suitable for presenting this data. [3]
18. A student conducted a questionnaire survey about residents' satisfaction with public transport. The response rate was only 30%. Explain two ways in which this low response rate could affect the reliability of the findings. [4]
19. A group of students investigated whether there is a relationship between the width of a river and its flow velocity. They measured river width and velocity at six sites along the river.
(a) Suggest one way the students could present their data to show the relationship between the two variables. [1]
(b) The students found that flow velocity increased as river width decreased. However, at Site 4, the velocity was unusually low despite a narrow width. Suggest two possible reasons for this anomaly. [4]
20. Evaluate the use of questionnaires as a method for collecting data in a geographical investigation. In your answer, you should discuss two strengths and two limitations of this method. [6]
END OF QUIZ
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Answers
Secondary 4 Geography Quiz - Fieldwork: Answer Key
Total Marks: 50
Section A: Research Design and Planning (Questions 1–5)
1. A student wants to investigate whether there is a relationship between distance from the coast and land use in a coastal town. State a suitable hypothesis for this investigation. [2]
Answer: A suitable hypothesis should clearly state the expected relationship between the two variables. Award marks as follows:
- 1 mark for stating the expected relationship clearly.
- 1 mark for including both variables (distance from coast and land use).
Example answer: "As distance from the coast increases, land use changes from tourism-related activities (e.g., hotels, restaurants) to residential and agricultural uses." [2]
Alternative acceptable answer: "There is a negative relationship between distance from the coast and the number of tourism-related businesses." [2]
2. Explain why it is important to formulate a clear research question before conducting fieldwork. [2]
Answer: Award 1 mark for each valid reason, up to 2 marks.
Example answer:
- A clear research question provides focus and direction for the investigation, ensuring that data collection is purposeful and relevant. [1]
- It helps in selecting appropriate data collection methods and sampling strategies, saving time and resources. [1]
Accept any two of the following: guides the choice of equipment; helps define the scope of the study; enables evaluation of whether the investigation has been successful; prevents collection of unnecessary data.
3. A group of students plans to investigate pedestrian traffic flow at different times of day in a shopping district. Suggest one research question they could investigate. [2]
Answer: Award 2 marks for a clear, focused, and investigable research question that includes reference to time and pedestrian flow.
Example answer: "How does pedestrian traffic flow in the shopping district vary between morning peak hours (8–9 am), lunchtime (12–1 pm), and evening peak hours (5–6 pm)?" [2]
Accept any reasonable variation that includes time periods and pedestrian flow/count.
4. State two reasons why a pilot study is useful before conducting the actual fieldwork. [2]
Answer: Award 1 mark for each valid reason.
Example answer:
- A pilot study allows researchers to test their data collection methods and instruments (e.g., questionnaires, observation sheets) to identify any problems or ambiguities before the main study. [1]
- It helps estimate the time required for data collection and allows researchers to adjust their sampling strategy if needed. [1]
Accept: familiarises researchers with the study area; checks that equipment works properly; identifies potential safety issues; refines the research question or hypothesis.
5. A student wants to study the impact of tourism on local businesses in a heritage area. Identify one independent variable and one dependent variable for this investigation. [2]
Answer: Award 1 mark for correctly identifying the independent variable and 1 mark for correctly identifying the dependent variable.
Example answer:
- Independent variable: Level of tourism activity (e.g., number of tourists visiting the area, or distance from a major tourist attraction). [1]
- Dependent variable: Revenue or number of customers at local businesses. [1]
Accept other reasonable variables as long as the independent variable is what is being manipulated/measured as the cause, and the dependent variable is the effect/outcome.
Section B: Data Collection Methods (Questions 6–10)
6. Explain the difference between primary data and secondary data, giving one example of each. [3]
Answer: Award 1 mark for explaining the difference, 1 mark for a valid primary data example, and 1 mark for a valid secondary data example.
Example answer:
- Difference: Primary data is original data collected first-hand by the researcher specifically for the investigation, while secondary data is data that has already been collected by someone else for another purpose. [1]
- Primary data example: Questionnaire responses collected by the student from tourists at a heritage site. [1]
- Secondary data example: Census data from the Department of Statistics about the population of a neighbourhood. [1]
Accept any valid examples.
7. A student is investigating water quality in a river at five different locations. Describe one suitable method for collecting water samples and state one precaution that should be taken. [3]
Answer: Award 2 marks for describing a suitable method with sufficient detail, and 1 mark for stating a valid precaution.
Example answer:
- Method: Use a clean plastic bottle or water sampling container. At each location, lower the bottle into the river, allowing it to fill with water from below the surface (to avoid surface debris). Label each sample clearly with the location, date, and time. [2]
- Precaution: Rinse the bottle with river water at each new location before collecting the sample to avoid cross-contamination between sites. [1]
Accept other valid methods and precautions (e.g., wear gloves for safety; collect samples at the same time of day for consistency; store samples in a cool, dark place).
8. Study the description below:
A researcher wants to survey 100 residents about their recycling habits. She stands outside a supermarket and interviews the first 100 people who agree to participate.
Identify the sampling method used and explain one limitation of this method. [2]
Answer: Award 1 mark for correctly identifying the sampling method, and 1 mark for explaining a valid limitation.
Example answer:
- Sampling method: Convenience sampling. [1]
- Limitation: The sample may not be representative of the entire population because it only includes people who shop at that particular supermarket at that particular time, excluding those who shop elsewhere or at different times. This introduces sampling bias. [1]
Accept other valid limitations: people who agree to participate may have different characteristics from those who refuse; the sample may over-represent certain demographic groups.
9. A student is conducting a questionnaire survey about park usage. Suggest two guidelines for designing effective questionnaire questions. [2]
Answer: Award 1 mark for each valid guideline.
Example answer:
- Questions should be clear and unambiguous, using simple language that all respondents can understand. Avoid jargon or technical terms. [1]
- Questions should not be leading or biased (e.g., avoid "Don't you agree that the park is beautiful?"). Instead, use neutral wording. [1]
Accept: use a mix of closed and open-ended questions; keep the questionnaire short to avoid respondent fatigue; pre-test the questionnaire with a small group; ensure questions are relevant to the research aim; avoid double-barrelled questions.
10. Explain why it is important to record the date, time, and weather conditions when conducting outdoor fieldwork observations. [2]
Answer: Award 1 mark for each valid reason.
Example answer:
- Recording date and time allows for comparison of data collected at different times and helps identify temporal patterns (e.g., differences between morning and afternoon, or weekday vs. weekend). [1]
- Recording weather conditions is important because weather can affect observations and measurements (e.g., fewer pedestrians on rainy days, higher river levels after rain). Without this information, it would be difficult to explain anomalies or variations in the data. [1]
Section C: Data Processing and Analysis (Questions 11–15)
11. A student recorded the following data on the number of visitors at four tourist attractions:
| Attraction | Number of Visitors |
|---|---|
| Museum | 45 |
| Temple | 120 |
| Beach | 210 |
| Market | 75 |
Calculate the mean number of visitors. Show your working. [2]
Answer: Award 1 mark for correct working, 1 mark for correct answer.
Working:
Total visitors = 45 + 120 + 210 + 75 = 450
Number of attractions = 4
Mean = 450 ÷ 4 = 112.5
Answer: 112.5 visitors [2]
12. Using the data in Question 11, calculate the percentage of total visitors that went to the Beach. Show your working and give your answer to one decimal place. [2]
Answer: Award 1 mark for correct working, 1 mark for correct answer to one decimal place.
Working:
Total visitors = 450
Beach visitors = 210
Percentage = (210 ÷ 450) × 100 = 46.666...%
Answer: 46.7% [2]
13. A student collected pebble sizes (in mm) along a beach at three locations: Site A (near the cliff), Site B (mid-beach), and Site C (near the sea). The mean pebble sizes were: Site A = 85 mm, Site B = 42 mm, Site C = 18 mm.
Describe the trend shown by this data. [2]
Answer: Award 2 marks for a clear, accurate description of the trend using data values.
Example answer: Pebble size decreases with increasing distance from the cliff. The mean pebble size is largest at Site A (85 mm, near the cliff) and smallest at Site C (18 mm, near the sea), with Site B showing an intermediate value (42 mm). [2]
Award 1 mark if the trend is stated but without specific data reference.
14. A student wants to present data showing how land use changes along a 2 km transect from the city centre to the suburbs. Suggest the most appropriate graphical method to present this data and justify your choice. [3]
Answer: Award 1 mark for naming the appropriate graph type, and 2 marks for a clear justification (1 mark per valid reason).
Example answer:
- Graph type: A land use transect diagram (or cross-section/transect chart). [1]
- Justification: A transect diagram can show the spatial sequence of land uses along a line, making it easy to visualise how land use changes with distance from the city centre. [1] It allows the viewer to see the exact location and order of different land uses, which a bar graph or pie chart cannot show effectively. [1]
Accept "stacked bar graph along a transect line" or "proportional symbols on a map" with appropriate justification.
15. A student conducted a traffic count at two intersections and recorded the following data:
| Vehicle Type | Intersection X | Intersection Y |
|---|---|---|
| Cars | 156 | 89 |
| Motorcycles | 45 | 112 |
| Buses | 12 | 8 |
| Trucks | 23 | 41 |
Identify one similarity and one difference between the traffic composition at the two intersections. [2]
Answer: Award 1 mark for a valid similarity, and 1 mark for a valid difference. Both must reference the data.
Example answer:
- Similarity: At both intersections, buses form the smallest proportion of total traffic (12 at Intersection X, 8 at Intersection Y). [1]
- Difference: Cars are the most common vehicle type at Intersection X (156), while motorcycles are the most common at Intersection Y (112). [1]
Accept other valid comparisons with data reference.
16. Explain how calculating the median can be more useful than calculating the mean when analysing fieldwork data that contains extreme values. [2]
Answer: Award 1 mark for explaining the effect of extreme values on the mean, and 1 mark for explaining why the median is more useful in such cases.
Example answer: The mean is affected by extreme values (outliers), which can pull the average up or down, making it unrepresentative of the typical value. [1] The median, being the middle value when data is ordered, is not influenced by extreme values and therefore gives a better indication of the central tendency when outliers are present. [1]
Section D: Data Presentation and Evaluation (Questions 17–20)
17. A student has collected data on noise levels (in decibels) at 10 locations in a neighbourhood. Explain why a bar graph would be suitable for presenting this data. [3]
Answer: Award 1 mark for each valid reason, up to 3 marks.
Example answer:
- A bar graph can clearly show the noise level at each individual location, making it easy to compare values across different sites. [1]
- The height of each bar is proportional to the noise level, allowing for quick visual comparison of which locations are noisiest and which are quietest. [1]
- Bar graphs are suitable for discrete categories (individual locations) rather than continuous data, and the locations are separate, distinct sites. [1]
Accept: easy to construct and interpret; can include a reference line for acceptable noise levels; allows for colour-coding of different types of locations.
18. A student conducted a questionnaire survey about residents' satisfaction with public transport. The response rate was only 30%. Explain two ways in which this low response rate could affect the reliability of the findings. [4]
Answer: Award 2 marks for each well-explained way (1 mark for identifying the issue, 1 mark for explaining the impact on reliability).
Example answer:
- Non-response bias: The 70% who did not respond may have different views from the 30% who did. For example, people who are dissatisfied with public transport may be more motivated to respond, skewing the results towards negative views. This means the findings may not accurately represent the views of all residents. [2]
- Small sample size: With only 30% responding, the actual number of responses may be too small to be statistically reliable. A small sample is less likely to capture the full range of opinions in the population, increasing the margin of error and reducing confidence in the findings. [2]
Accept other valid explanations: difficulty in generalising findings to the whole population; certain demographic groups may be under-represented.
19. A group of students investigated whether there is a relationship between the width of a river and its flow velocity. They measured river width and velocity at six sites along the river.
(a) Suggest one way the students could present their data to show the relationship between the two variables. [1]
Answer: A scatter graph (or scatter plot). [1]
Accept: line graph (if sites are ordered along the river); correlation diagram.
(b) The students found that flow velocity increased as river width decreased. However, at Site 4, the velocity was unusually low despite a narrow width. Suggest two possible reasons for this anomaly. [4]
Answer: Award 2 marks for each well-explained reason (1 mark for identifying the reason, 1 mark for explaining how it affects velocity).
Example answer:
- Presence of obstacles or vegetation: Site 4 may have large boulders, fallen trees, or dense aquatic vegetation in the river channel. These obstacles create friction and turbulence, slowing down the flow of water despite the narrow channel. [2]
- Changes in channel gradient: Site 4 may be located on a flatter section of the river with a lower gradient. A lower gradient reduces the gravitational force driving the water downstream, resulting in lower flow velocity even if the channel is narrow. [2]
Accept: human modifications (e.g., a small dam or weir downstream creating backwater effect); higher channel roughness (e.g., coarse sediment on the riverbed increasing friction); measurement error (e.g., velocity measured incorrectly or at the wrong location in the channel).
20. Evaluate the use of questionnaires as a method for collecting data in a geographical investigation. In your answer, you should discuss two strengths and two limitations of this method. [6]
Answer: Award marks as follows:
- 1 mark for each strength (up to 2 marks)
- 1 mark for each limitation (up to 2 marks)
- 2 marks for a concluding evaluative statement that weighs the strengths against the limitations
Example answer:
Strengths:
- Questionnaires can collect data from a large number of respondents relatively quickly and at low cost, allowing for a broad sample that can be more representative of the population. [1]
- Standardised questions ensure that all respondents are asked the same questions in the same way, which increases the reliability and comparability of the data collected. [1]
Limitations:
- Response rates can be low, especially for postal or online questionnaires, which may lead to non-response bias where the views of non-respondents differ from those who responded. [1]
- Respondents may not answer truthfully or may give socially desirable answers rather than their genuine opinions, reducing the validity of the data. Closed-ended questions also limit the depth of responses. [1]
Evaluation: Questionnaires are a useful method for collecting large amounts of standardised data efficiently, making them suitable for investigations requiring broad coverage. However, their effectiveness depends heavily on careful design, achieving a high response rate, and being aware of potential biases. They are best used in combination with other methods (e.g., interviews or observations) to triangulate findings and improve overall validity. [2]
Accept other valid strengths and limitations with appropriate explanation.
END OF ANSWER KEY