Statistical Investigations
Start with a question
A statistical investigation begins with a clear question — one that data can actually answer. "What is the most popular lunch?" works, because responses can be collected and counted; "Is blue nice?" does not, because it is vague and personal. The quality of the whole investigation rests on the question: a sharp, answerable question points to what data to gather, while a vague one leads nowhere. Framing a good question is the first and most important step, and Year 4 learns to tell a clear, measurable question from one too loose to investigate.
Collect the data
With a question set, the next step is collecting data, by the method that suits it. Favourite lunch calls for a survey of the class; how students travel might be a survey or watching arrivals; daily temperature is measured and recorded. The curriculum names survey responses and other methods, because not every question is answered by asking — some need observing or measuring. Choosing a method that genuinely captures the answer, and collecting carefully, gives the investigation trustworthy data, the raw material everything that follows depends on.
Record and display
Collected data must be recorded and displayed before it can be understood. Responses are tallied into a table, then drawn as a column graph or other display — and digital tools, named in the descriptor, can record and chart the data quickly. The travel survey becomes a column graph with a bar for each mode. Turning a pile of responses into an organised display is what makes the data readable, and it is the bridge between collecting the data and making sense of it. A clear display is the centre of any investigation.
Interpret the data
A display is built to be read. Interpreting the data means answering the investigation question from it: which way of travelling is most common, how many walk or cycle, which is least common. Each answer is read straight off the bars. Interpretation is where the data finally speaks to the question that started everything, turning a chart into findings. Reading honestly — reporting what the display actually shows rather than what was expected — is the discipline that makes an investigation's conclusions reliable.
Communicate the result
The final step is communicating the result clearly. "Most students walk to school" reports the finding plainly, tied to the data; "School is good" says nothing about what was found. A good conclusion states specifically what the data showed, so anyone can understand the answer without seeing the raw numbers. Communicating results is named in the descriptor because an investigation is only complete when its findings are shared clearly. This closes the loop from question to answer, the whole point of carrying out the investigation.
The investigation cycle
Pulling the unit together, a statistical investigation runs full circle: ask a clear question, collect data by a suitable method, record and display it with digital tools, then interpret and communicate what it shows. A table of the steps makes the cycle plain. Each step depends on the one before, and a weak link — a vague question, careless collection, a muddled display — weakens the whole. With all four steps carried out, a child can conduct a complete statistical investigation, the capstone of Year 4 statistics and the way data answers real questions.