Z-scores are a way to standardize data by measuring how many standard deviations an observation is from the mean. They allow us to compare values from different distributions.
Think of z-scores as a universal language for comparing data. Just like knowing multiple languages helps you communicate with people from different countries, knowing z-scores helps you compare data from different distributions.
Standard Deviation: A measure of how spread out the values in a dataset are.
Normal Distribution: A bell-shaped distribution that is symmetric and characterized by its mean and standard deviation.
Percentile Rank: The percentage of values in a dataset that are below a particular value.
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