Practical Applications of Statistics
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Practical Applications of Statistics
Introduction
This paper will cover some applications of statistical concepts relevant to the business environment I am currently working in. I will discuss examples of (1) mean, mode, median, (2) standard deviation, and (3) binomial distribution.
Mean, mode, median
Mean, mode and median are three different ways to express an average value in a series of numerical data. A practical example can be useful to understand the difference among them.
If we consider the following hypothetical salaries:
John $1,000,000
Jack $225,000
Paul $80,000
Jim $60,000
Alan $40,000
Sam $30,000
Andrew $20,000
Jeff $20,000
Rudy $15,000
Brian $10,000
The calculation for the three types of averages yields:
Mean $150,000
Median $35,000
Mode $20,000
The mean, median, and mode are so different because the salary distribution is not symmetrical. John and Jack earn sensibly more than their other colleagues. Therefore they greatly increase the mean income for the entire company (if they did not work here, the mean, median, and mode would be $34,375, $25,000, & $20,000 respectively). This kind of analysis can be useful, for instance, in evaluating layoffs, or in presenting data to stakeholders.
Standard Deviation
The standard deviation () is a summary measure of the differences of each value from the mean. The actual formula for standard deviation is:
= square root [( x - m)^2 / N]
Where m is the mean value, x is the variable under examination, and N is the number of samples we are considering...