Answer:
Standard Deviation :
Standard deviation is a measurement used in statistics of the
amount a number varies from the average number in a series of
numbers. The standard deviation tells those interpreting the data,
how reliable the data is or how much difference there is between
the pieces of data by showing how close to the average all of the
data is.
- A low standard deviation means that the data is very closely
related to the average, thus very reliable.
- A high standard deviation means that there is a large variance
between the data and the statistical average, thus not as
reliable.
Formula:
The formula for standard deviation is
Sample Standard Deviation =
Where:
xi = Value of the ith point in the data
set
= The mean value of the data set
n = The number of data points in the dataset
Real Life Examples:
- A class of students took a math test. Their teacher found that
the mean score on the test was an 85%. She then calculated the
standard deviation of the other test scores and found a very small
standard deviation which suggested that most students scored very
close to 85%.
- An employer wants to determine if the salaries in one
department seem fair for all employees, or if there is a great
disparity. He finds the average of the salaries in that department
and then calculates the variance, and then the standard deviation.
The employer finds that the standard deviation is slightly higher
than he expected, so he examines the data further and finds that
while most employees fall within a similar pay bracket, three loyal
employees who have been in the department for 20 years or more, far
longer than the others, are making far more due to their longevity
with the company. Doing the analysis helped the employer to
understand the range of salaries of the people in the
department.