# Variance and standard deviation be applied to a real world business related problem

## Applications of standard deviation in business

In practice, quality systems like Six Sigma attempt to reduce the rate of errors so that errors become an outlier. Deviation can be positive or negative. Standard deviation, which is expressed in the original units of the data set, is much more intuitive and closer to the values of the original data set. We do this by finding a mean or a median , or some other related measure of average. We also want to know more about the overall shape of our data. The sum of squares would now be divided by 5 instead of 6 n - 1 , which gives a variance of 8. When working with a quantitative data set, one of the first things we want to know is what the "typical" element of the set looks like, or where the middle of the set is. The first measure we would arrive at is the mean, or the average, which is described below: The averages takes a series of discrete units and is divided by the sum count of all those units. There are other measures that basic business statistics makes available to us that will help us 1 understand the customer better, 2 understand better where we can improve 3 identify ways in which we can further delight the customer. The standard deviation of company A's employees is 1, while the standard deviation of company B's wages is about 5. This is the Mean or the Average. The teacher finds that the standard deviation is high. In general, the larger the standard deviation of a data set, the more spread out the individual points are in that set. Standard deviation is a measure of how far away individual measurements tend to be from the mean value of a data set. A market researcher is analyzing the results of a recent customer survey.

Standard deviation is a measure of how spread out a data set is. In general, the larger the standard deviation of a data set, the more spread out the individual points are in that set. Related Posts:. Subtract each piece of data from the mean and then square it.

But knowing the middle of the set doesn't tell us everything. For example, at Calculator. The sum of squares would now be divided by 5 instead of 6 n - 1which gives a variance of 8.

We do this by finding a mean or a medianor some other related measure of average. That gives the variance.

Why is this Important? The standard deviation is about 2. A market researcher is analyzing the results of a recent customer survey. If the mean is 3, a value of 5 has a deviation of 2 subtract the mean from the value.

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