Statistical Enquiry Cycle (EdExcel)

Statistical Enquiry Cycle

Statistical Enquiry Cycle

A process for real-world statistical investigations that involves iterative steps and continuous improvements, with stages including hypothesis and planning, collecting data, processing and representing data, interpreting results, and evaluating.

Cycle

No simple beginning or end.

Hypothesis and Planning

Stage in the Statistical Enquiry Cycle where a hypothesis is specified, data collection methods are planned, data processing and representation strategies are outlined, and reasons for choices made are provided.

Collecting Data

Stage in the Statistical Enquiry Cycle where data collection is designed to minimize bias, primary data is collected using appropriate methods, and consideration is given to using reliable secondary data.

Processing and Representing Data

Stage in the Statistical Enquiry Cycle where data is organized, cleaned if necessary, represented through diagrams, and summary statistics are calculated for comparison, considering the target audience and acknowledging sources used.

Interpreting Results

Stage in the Statistical Enquiry Cycle where summary statistics and data representations are interpreted in the context of the investigation, conclusions related to the hypothesis are drawn, inferences and predictions are made, and the reliability of results is commented on.

Evaluating

Stage in the Statistical Enquiry Cycle where issues with data collection, processing, and representation are identified, improvements are suggested, data representations' appropriateness for the target audience is reflected upon, and the process is repeated with enhancements to further investigate the hypothesis.

Hypothesis

A statement to test using statistics, stated at the start of an inquiry before data collection, requiring valid and relevant data collection and appropriate data analysis.

Constraints

Practical limits affecting investigations, including time, cost, ethical issues, confidentiality, sensitivity, convenience, and other potential issues that may arise during the statistical inquiry process.

Time

A crucial constraint, as there may be limited time available to conduct the investigation, necessitating a plan that can be completed within this timeframe.

Cost

Another significant factor; while the ideal investigation might be expensive, it is essential to plan for the best investigation possible within the available budget.

Ethical issues

Must always be addressed to ensure the well-being of participants.

Confidentiality

Vital as participants may be unwilling to share sensitive information, thus, must be protected.

Sensitivity

May be affected by the identity of the data collector or the data collection method.

Convenience

Some data may be challenging to find or collect.