Inferences/Observations and Qualitative/Quantitative Data

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What is an observation?

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An observation is a statement based on what you can see, hear, or measure directly. For example, 'The sky is blue.'

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What is an inference?

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An inference is a conclusion drawn from observations or evidence. For example, 'It is raining because the ground is wet.'

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What is qualitative data?

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Qualitative data refers to information that cannot be measured or counted, often describing qualities or characteristics. For example, 'The flower is red.'

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What is quantitative data?

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Quantitative data refers to information that can be counted or measured. For example, 'There are 10 apples in the basket.'

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Give an example of qualitative data.

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An example of qualitative data is 'The car is fast.'

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Give an example of quantitative data.

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An example of quantitative data is 'There are 20 students in the classroom.'

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How can you differentiate between qualitative and quantitative data?

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Qualitative data describes qualities and cannot be measured, while quantitative data involves numbers and can be measured.

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What type of data is 'The ice cream is cold'?

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This is qualitative data.

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What type of data is 'There are 15 cookies on the plate'?

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This is quantitative data.

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What is the importance of making observations in science?

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Making observations is crucial in science as it helps gather data and form the basis for inferences and conclusions.