Qualitative vs. Quantitative Data & Observations

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What is qualitative data?

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Qualitative data refers to descriptive information that can be observed but not measured. It often involves characteristics, qualities, or attributes, such as color, texture, or luster.

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What is quantitative data?

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Quantitative data refers to numerical information that can be measured and counted. It includes data that can be expressed in numbers, such as weight, height, or temperature.

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What is an observation?

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An observation is a statement based on what you see, hear, or experience directly. It is factual and can be verified.

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What is an inference?

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An inference is a conclusion or interpretation made based on observations. It goes beyond what is directly seen and involves reasoning.

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Give an example of qualitative data.

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An example of qualitative data is describing the color of a flower as 'red' or 'blue'.

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Give an example of quantitative data.

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An example of quantitative data is stating that a bottle contains 500 milliliters of water.

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What is the difference between observation and inference?

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Observation is what you directly see or measure, while inference is a conclusion drawn from those observations.

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What type of observation is 'The sky is blue'?

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This is a qualitative observation.

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What type of observation is 'There are 20 students in the classroom'?

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This is a quantitative observation.

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What does it mean to use your senses in observations?

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Using your senses means gathering information through sight, sound, touch, taste, and smell.