Accurate data refers to information that is correct, reliable, free from error or bias, and reflects reality with precision.
Imagine you're baking cookies using a recipe. To ensure accuracy in measurements, it's important to use the right amount of ingredients listed in the recipe. If you mistakenly use half the amount of sugar required, the taste of your cookies won't be accurate.
Reliability: The extent to which data or results obtained from research methods are consistent and can be replicated.
Validity: The degree to which a measurement tool accurately measures what it claims to measure.
Bias: A systematic error in data collection, analysis, interpretation, or reporting that distorts the true representation of a population.
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