Statistical Enquiry Cycle: A Initial planning — Edexcel A-Level Statistics
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Statistical Enquiry Cycle: A Initial planning explained
At the initial planning stage of the statistical enquiry cycle, you clarify the problem and then identify the factors that may be related to it.
Read the full explanation
A factor is any variable, characteristic or circumstance that could plausibly influence or be associated with the problem, whether or not it is measured. Start by writing the problem as a precise question about a population, then list candidate factors and classify each as explanatory, response or a possible confounding variable. For example, if the problem concerns variation in students’ exam marks, candidate factors include hours of revision, attendance, prior attainment and teaching group; some are measurable, others are contextual. Use subject knowledge, background reading and discussion with the client or stakeholder to generate the list, then judge which factors are practical to record and which must be acknowledged as limitations.
Your focus
- Define the problem under investigation as a precise question about a stated population.
- Identify and classify factors that may be related to the problem.
- Justify factor selection and acknowledge practical constraints on what can be recorded.
Statistical Enquiry Cycle: A Initial planning exam tips
Marking Points
- States the problem as a precise question about a defined population before listing factors.
- Identifies candidate factors that could be related to the problem, including explanatory, response and possible confounding variables.
- Classifies each factor as explanatory, response or potentially confounding, and notes which are measurable.
- Justifies the inclusion of factors using subject knowledge, background reading or discussion with the client or stakeholder.
- Recognises practical constraints, such as time, cost or access, that limit which factors can be recorded, and records the rest as limitations.
Examiner Tips
- 💡Write the problem as a single precise question naming the population and the variable of interest.
- 💡Present factors in a short table with columns for the factor, its role and whether it is measurable.
- 💡Add one sentence explaining how each factor was identified, such as prior research or client discussion.
Common Mistakes
- Jumping straight to sampling or data collection before the problem and its factors are defined; correct this by completing the planning step first.
- Listing only variables that are easy to measure and ignoring contextual factors; correct this by including plausible influences even when they cannot be recorded.
- Confusing explanatory and response variables; correct this by stating which factor is thought to influence which outcome.