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A2 Skills (Statistical Skills (Finding the average value (Mean
Add up the…
A2 Skills
Statistical Skills
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Standard Deviation
- Measures dispersion
- Table and formula will be given
- Larger SD = more spread out
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Answering Questions
Read the question properly
- Circle the command words
- Underline the key words
- Re-read the question and your answer to make sure you've addressed all parts of the question
Command words
Describe a pattern:
- Identify the general pattern
- Refer to any anomalies
Explain
- Give reasons
- Include 'because' or 'due to'
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Contrast/Distinguish
- Differences
- Use comparative words like 'larger' or 'more severe'
Assess/Evaluate/Discuss the advantages and disadvantages OR the arguments for and against
- Weigh something up
- Give a balanced answer
- Talk about different POVs
Examine/Outline
- Describe and explain
- More explanation for examine
- More description for outline
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Figure out the structure before you start
- Think about how to structure longer answers
- Label the plan and answer clearly
- Don't cross out the plan
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Tips:
- Use diagram when appropriate
- When running out of time, use bullet points to get some marks
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Exam Structure
Unit 3
- 2h30m long
- 90 marks
- 30% of a level
Section B
- World Cities or Conflict
- 3 questions
- 7-10 markers
- 25 marks total
- 45 minutes
Section A
- Plate Tectonics
- 3 questions
- 7-10 markers
- 25 marks total
- 45 minutes
Section C
- One essay
- 40 marks
- World Cities or Conflict - must be different from Section B
Unit 4a
- 1hr 30m
- 60 marks total
- 20% of A level
Section A
- Fieldwork questions
- 1 hour
Section B
- General investigation Qs E.g. "Comment on a method used to analyse fieldwork data"
- 30 mins
- Answer all Qs
Unit 4a - Fieldwork
Two parts of the exam
- Questions about the investigation e.g. aims, methods, what data you collected and why, data presentation and analysis, how you could have extended your research
- Data is given e.g. maps, data tables, graphs. May answer questions about what it means, what different techniques there are for presenting and analysing data or how useful the different techniques are