The formula z = (x-μ)/σ allows us to determine the z-score for a sample mean on the distribution of means.
A Z-score is a metric that quantifies how closely a value relates to the mean of a set of values.
Standard deviations from the mean are used to measure Z-score.
A Z-score of zero means the data point's score is the same as the mean score.
Z-scores are calculated using the formula z = (x-μ)/σ, where x represents the raw score, the population mean, and the population standard deviation.
The z-score is simply the raw scoreless the population means, divided by the population standard deviation, as the calculation demonstrates.
Therefore, the formula z = (x-μ)/σ allows us to determine the z-score for a sample mean on the distribution of means.
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