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Subtract the mean (6 4 = 2), Divide by the standard deviation. Your standardized value (z-score) will be: 2 / 1.2 = 1.7.
X: the observation (a specific value that you are calculating the z-score for). Mu(): the mean. Sigma(): the standard deviation.
X: the observation (a specific value that you are calculating the z-score for). Mu(): the mean. Sigma(): the standard deviation.
We subtract off the mean of X, which is, and divide through by the standard deviation of X, which is n, to obtain a standardized version of the sample mean: X/n.
The formula for calculating the standard score is given below: As the formula shows, the standard score is simply the score, minus the mean score, divided 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: Standardize the scale for each variable that you specify, so that you can compare them on a similar scale.
Procedure for direct standardization Multiply the age-specific mortality rates of the other population under study to the number of persons in each age group of the standard population. By this way, you will get the expected deaths for each age group of each population.
Fourthly, the standardized rate is calculated dividing the total expected number of events in the standard population by the total standard population. In this case, 2,214.645 divided by 131,327 which gives 0.0169 or multiplying by 1,000 gives 16.9 deaths per 1,000 men.
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