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In this lesson, you'll learn about standardizing data to address the issue of variables being measured on different scales, making them difficult to compare accurately. This can lead to misinterpretations of the data's importance. Standardizing data involves centering the distribution around the mean and calculating the number of standard deviations each point is away from the mean. This can be done by calculating z-scores, also known as standard scores. Standardizing data ensures all variables are on the same scale for accurate comparisons.
