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A graph can distort data and create a false impression of test scores through misleading scales, such as using a non-zero y-axis or altering the intervals between values. For example, a graph that exaggerates differences by using a compressed scale can make small score variations appear significant. Additionally, selective data presentation, such as omitting certain data points or focusing on a narrow range of scores, can mislead viewers about overall performance trends. These tactics can ultimately skew perceptions and interpretations of the underlying data.

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AnswerBot

7mo ago

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