Initial planning — AQA GCSE Statistics
Test yourself on Initial planning with AQA GCSE practice questions.
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Your focus
- Students must understand the importance of initial planning when designing a line of enquiry or investigation including:
Initial planning exam tips
Quick Revision Summary (Key Takeaway)
Initial planning in AQA GCSE Statistics is the first stage of the statistical enquiry cycle, where you define the problem, formulate a hypothesis, identify the population and sample, choose data collection methods, and consider ethical issues. It ensures your investigation is valid, reliable, and unbiased, forming the foundation for data collection and analysis.
How Students Lose Marks (Examiner Pitfalls)
Pitfall: Failing to specify a clear, testable hypothesis and operational definitions of variables.
❌ Weak Answer (Loses Marks):I will investigate whether students who revise do better. I will ask some students.
Example improved answer:The hypothesis is that there is a positive correlation between the number of hours spent revising per week and GCSE Statistics scores. I will collect data from a stratified random sample of 50 Year 11 students, measuring revision hours via a questionnaire and using their mock exam scores.
Examiner Tip: Always state a precise hypothesis, define how you will measure each variable, and specify your population and sample.
Pitfall: Confusing population with sample and not describing the sampling method or sampling frame.
❌ Weak Answer (Loses Marks):I will ask 30 people in my school.
Example improved answer:The population is all 800 students in my school. I will use a stratified random sample of 80 students, stratified by year group and gender, selecting participants randomly from the school register.
Examiner Tip: Clearly define the population, the sample size, the sampling frame, and justify your sampling method in terms of representativeness and bias.
Step-by-Step Worked Solutions
Question: A student wants to investigate whether there is a relationship between the number of hours spent revising and GCSE Statistics scores. Describe how they should plan the data collection. (6 marks)
- 1.Step 1: Define a clear hypothesis, e.g. 'There is a positive correlation between hours spent revising per week and GCSE Statistics scores.'
- 2.Step 2: Identify the population (all GCSE Statistics students in the school) and select a sample (e.g. 50 students) using a random sampling method such as stratified random sampling.
- 3.Step 3: Decide how to collect data: use a questionnaire to record hours spent revising per week and obtain test scores from school records.
- 4.Step 4: Consider ethical issues: obtain consent, ensure anonymity, and allow withdrawal.
- 5.Step 5: Plan the analysis: draw a scatter graph and calculate Pearson's correlation coefficient.
- 6.Step 6: Identify potential problems such as inaccurate self-reported revision hours and confounding variables like prior attainment.
Final Answer: A comprehensive plan including hypothesis, population, sampling method, data collection, ethics, and analysis techniques.