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Subtract the mean,, from the value you want to convert, X. Divide the result from Step 1 by the standard deviation,.
Subtract the mean,, from the value you want to convert, X. Divide the result from Step 1 by the standard deviation,.
Typically, to standardize 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: Standardize 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 standardized value (z-score) will be: 2 / 1.2 = 1.7.
From a business standpoint, standardization refers to the practice of maintaining some level of consistency in the product or service that a company provides. A company wants to produce a consistent product, so consumers will know what they're buying. Say, for instance, a bakery produces loaves of wheat bread.
Standardization is the process of developing, promoting and possibly mandating standards-based and compatible technologies and processes within a given industry. Standards for technologies can mandate the quality and consistency of technologies and ensure their compatibility, interoperability and safety.
Examples of standardized products include agricultural products (such as grain and milk), most mined minerals, and fish.
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