Intro Unit Review

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What is an observation?

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An observation is the act of noticing and describing events or processes in a careful, orderly way, often using tools like microscopes or thermometers.

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What is an inference?

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An inference is a conclusion reached based on evidence and reasoning rather than direct observation. For example, saying 'A clown threw a ball and broke the window' is an inference based on the evidence of broken glass.

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What is a testable question?

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A testable question is one that can be answered through experimentation or observation. For example, 'What makes grass grow greener?' can be tested by conducting experiments.

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What is data?

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Data refers to factual information used as a basis for reasoning, discussion, or calculation. For example, 'The plant grew 2 inches in a week' is a piece of data.

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What is a hypothesis?

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A hypothesis is a proposed explanation for a phenomenon, which can be tested through experimentation. For example, 'If I water the plant daily, then it will grow faster' is a hypothesis.

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What is the difference between observation and inference?

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Observation is the act of noting something using the senses, while inference is a conclusion drawn from observations.

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What tools can be used for making observations?

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Tools like microscopes, thermometers, rulers, and scales can be used to make precise observations.

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Why is it important to ask testable questions in science?

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Testable questions are important because they can be answered through experiments, allowing scientists to gather data and draw conclusions.

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What is an example of qualitative data?

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Qualitative data describes characteristics or qualities, such as 'The plant looks healthy'.

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What is an example of quantitative data?

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Quantitative data is numerical and can be measured, such as 'The plant grew 2 inches in a week'.