The normal curve (also known as bell curve) is a symmetrical distribution that represents many natural phenomena. It follows a specific mathematical pattern where most values cluster around the mean and progressively fewer values occur further away from the mean.
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Standard Deviation: Standard deviation measures the spread or variability of data points in relation to the mean. It helps determine how closely data points cluster around the mean on a normal curve.
Z-Score: A z-score represents how many standard deviations an individual data point is away from the mean in a normal distribution.
Central Limit Theorem: The central limit theorem states that when independent random variables are added together, their sum tends to follow a normal distribution, regardless of the shape of the original variables' distributions.