Data interpretation

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Data Noun

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[day-tuh]

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Data

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The observations, facts, and measurements collected and recorded during a scientific experiment or investigation for subsequent analysis.

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Example: In a crash test, sensors on the dummies collect information, or data, about impact forces to help scientists improve vehicle safety.

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Data Analysis Noun

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[day-tuh uh-nal-uh-sis]

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Data Analysis

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The process of inspecting, cleaning, transforming, and modeling data to discover useful information, find patterns, and draw conclusions.

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Example: This image shows scattered data points on a graph with a line connecting them, representing the process of analyzing data to find a trend or pattern.

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Hypothesis Noun

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[hy-poth-uh-sis]

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Hypothesis

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A testable prediction or proposed explanation for an observation, which an experiment is designed to either support or refute.

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Example: This image shows an experiment to test a prediction (hypothesis), like 'Plants grow best under a certain color of light,' by changing only one variable.

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Experimental Error Noun

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[ek-sper-uh-men-tl er-er]

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Experimental Error

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The inevitable difference between a measured value and the true value, which can arise from various uncontrollable factors or limitations.

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Example: A stopwatch that doesn't start at zero (B) has a zero error, a type of systematic experimental error that makes every measurement consistently wrong.

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pH Noun

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[pee-eych]

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pH

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A numerical scale used to specify the acidity or basicity of an aqueous solution, which is a critical experimental variable.

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Example: The pH scale measures how acidic or alkaline a substance is, from 0 (very acidic) to 14 (very alkaline), with 7 being neutral.

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Herbicide Noun

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[hur-buh-sahyd]

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Herbicide

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A chemical substance specifically designed to destroy or inhibit the growth of unwanted plants, often called weeds.

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Example: This specimen herbicide label shows data, such as the names and percentages of active ingredients, which can be interpreted to understand the product's function.