Hypothesis - a statement that will be tested through the fieldwork investigation, Theory - a proposed explanation or model used to explain what is likely to be found e.g. Bradshaws, Risk assessment - a process for identifying possible hazards in fieldwork and taking steps to prevent them, Primary data - data collected by you e.g. environmental quality survey, Secondary data - data collected by another group or organisation e.g. house price data, Quantitative - Numerical data, Qualitative data - Descriptive data, Data collection - the process of gathering information during the fieldwork, Sampling - a technique used to collect data from a small number of people/sites to gain an understanding of the whole population/area, Random sampling - selecting a site or person randomly, without bias, Systematic sampling - collecting data in an ordered or regular way e.g. every 10m, Stratified sampling - dividing a population/area into groups and selecting a proportionate number of observations from each group/area, Opportunistic sampling - taking samples wherever is possible and is safe, Justification - giving reason why you collected the data in that way e.g. multiple measurements as river depth varies, Data Presentation - showing your results in graphs, annotated photos or colour coded mapsmaps, Results - the numbers and observations collected, Anomaly  - a result that does not fit in with the rest of them, Conclusion - a summary of key findings or a judgment about a topic, Evaluation - what went well, what could be improved and how, Accurate - it is the right number/opinion recorded, Precise - a good level of detail e.g. mm rather than cm, Repeatable  - data that can be collected again using the same methods,

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