Stage 1: Identify question for investigation (hypothesis)
SMART• Simple• Measurable• Achievable• Realistic• Timed LOCATED
Which of these are SMART enough totest? 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?
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
Succession in Calshot Spit• What are your 4 hypotheses for this investigation?
What do you need to plan? Hypotheses and Questions Risks Types of dataTimings Sampling Location
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
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
SamplingLarge sample size = more representative data• Point Sampling• Areal Sampling• Linear Sampling• Random• Stratified• Systematic