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Answer:
Standard deviation of a normal data distribution is a measure of data dispersion.
Step-by-step explanation:
Standard deviation is used to measure dispersion which is present around the mean data.
The value of standard deviation will never be negative.
The greater the spread, the greater the standard deviation.
Steps-
1. At first, the mean value should be discovered.
2.Then find out the square of it's distance to mean value.
3.Then total the values
4.Then divide the number of data point.
5.the square root have to be taken.
Formula-
SD=[tex]\sqrt{\frac{(\sum{x-x)^2} }{n-1}[/tex]
Advantage-
It is used to measure dispersion when mean is used as measure of central tendency.
Standard deviation of a normal data distribution is a measure of data dispersion.
What is a normal distribution?
A normal distribution is a probability distribution that is symmetric around the mean of the distribution. This means that the there are more data around the mean than data far from the mean. When shown on a graph, a normal distribution is bell-shaped.
What is standard deviation?
Standard deviation is a measure of variation. It measures the dispersion of data from its mean. It can be calculated by determining the value of the square root of variance.
To learn more about standard deviation, please check: brainly.com/question/12402189
