4. Which of these are SMART enough to
test? How could you improve them?
• River valleys increase in width with
increasing distance from the source
• Golf courses in Bucks are located in urban
areas
• Do Waitrose source their food from local
suppliers?
• Are population densities greater in West or
East Berkshire?
5. Testable Hypothesis
• Measurable hypothesis are needed in
order to statistically test your theory
• Null Hypothesis
– There is no relationship
• Hypothesis
– There is some form of relationship
10. What do you need to plan?
Hypotheses and
Questions
Risks Types of data
Timings
Sampling
Location
11. Choosing location and sites
• Health and Safety?
• Appropriate to Key Concepts
• Fit in with hypotheses
• Accessibility
• Time taken to reach them?
• Are you doing a PILOT STUDY?
9
12. Types of Data
Primary Data Secondary Data
Raw Data collected Published data that has
either personally or un- been processed,
analysed official data ordered and analysed
• Discharge • Text books
• Rainfall • Maps
• Census • Charts
• Electoral register • Diagrams
• Parish register • Journal/ Magazine
Articles
• Soil pH
• Vegetation data
• Landuse data
13. Sampling
Large sample size = more representative data
• Point Sampling
• Areal Sampling
• Linear Sampling
• Random
• Stratified
• Systematic
