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Interpretation of data

Interpretation of data. Will?. Which?. Is?. Types of questions. How?. Why?. What?. Do?. Simplest types of questions. These involve reading one piece of information from the data representation. They include.

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Interpretation of data

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  1. Interpretation of data Will? Which? Is? Types of questions How? Why? What? Do?

  2. Simplest types of questions These involve reading one piece of information from the data representation. They include . . .

  3. Superlative questions: Which is the most popular method of getting to school? • Comparative questions: Which is the most popular school dinner - salad or pasta? • Quantity questions: How many children in our class have blue eyes?

  4. Then . . . Children can progress to questions which require them to read more than one piece of information from the data representation. For example . . .

  5. Comparison of quantities/measurements: By how much is Asmat taller than Jo? • Recognition of trends: Why does the graph slope downwards?

  6. Finally . . . Children can begin to consider questions about the data which require them to think beyond the information provided by the data representation. For example . . .

  7. Relational questions: Do taller people weigh more? • Conditional questions: What would happen to the data if the value of the Euro went down? • Questions requiring explanations: Why was the supermarket busier on Friday than on Wednesday? And. . .

  8. Questions requiring prediction: Extrapolation – What do you think the temperature was one hour after we finished collecting the data? Interpolation - What do you think the temperature was half-way between the two times when we measured it? And . . .

  9. Questions about the appropriateness of the data representation: Why did you chose a line graph to show the class test scores? • Questions about the nature or size of the sample: How many people do we need to ask in order to get reliable data?

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