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x — The value to normalize. Mean — The arithmetic mean of the distribution. Standard_dev — The standard deviation of the distribution.
x — The value to normalize. Mean — The arithmetic mean of the distribution. Standard_dev — The standard deviation of the distribution.
Typically, to standardise variables, you calculate the mean and standard deviation for a variable. Then, for each observed value of the variable, you subtract the mean and divide by the standard deviation.
Subtract mean and divide by standard deviation: Center the data and change the units to standard deviations. Subtract mean: Center the data. Divide by standard deviation: Standardise the scale for each variable that you specify, so that you can compare them on a similar scale.
Subtract the mean,, from the value you want to convert, X. Divide the result from Step 1 by the standard deviation,.
Typically, to standardise variables, you calculate the mean and standard deviation for a variable. Then, for each observed value of the variable, you subtract the mean and divide by the standard deviation.
Subtract mean and divide by standard deviation: Center the data and change the units to standard deviations. Subtract mean: Center the data. Divide by standard deviation: Standardise the scale for each variable that you specify, so that you can compare them on a similar scale.
Subtract the mean (6 4 = 2), Divide by the standard deviation. Your standardised value (z-score) will be: 2 / 1.2 = 1.7.
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