Standard Deviation Formula: Definition and Example Problems

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Standard Deviation Formula: Definition and Example Problems – What is meant by standard deviation and how to calculate it with the formula? On this occasion About the knowledge.co.id will discuss standard deviation along with formulas and examples of problems. Let's look at the discussion together in the article below to better understand it.

Standard Deviation Formula: Definition and Example Problems


In Statistics and Probability, Standard Deviation or also known as Standard Deviation is a statistical technique used to explain homogeneity within a group.

Standard deviation is also defined as a statistical value that is often used in determining how the data is distributed in the sample, as well as how close the individual data points are to the mean or average of the values ​​of the sample Alone.

The word Standard Deviation was first introduced in 1894 by Karl Pearson in his book entitled On The Dissection Of Asymmetrical Frequency Curves.

Standard deviation is defined by the Square Root of Variance, because the number is a positive number and has the same units as a data set. There is one thing we need to know, before we discuss the standard deviation formula. The standard deviation value of the data set can be = 0 or it can even be greater or less than zero (0).

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If the value is equal to zero, then all values ​​in the set are equal.
Whereas a value whose value is greater or smaller indicates that the individual data point is far from its average value.

If we want to find the standard deviation value, the first step we need to do is as follows:

  • First, calculate the average value of each existing data point.
    The Average Value is equal to the sum of all the values ​​in the data set
    And we divide by the total number of points from the data.
  • Not only that, the next steps are: Then calculate the deviation for each data point from its average. Namely by subtracting the value from the average value.
  • Next, we square the deviation of each data point and then find the average individual squared deviation.
  • The resulting value is called the variant.
  • After that, if you want to find the standard deviation, that is by taking the square root of the variant value.

Standard Deviation Formula

The following is the standard deviation formula, namely:

Population Standard Deviation

A population can be symbolized by σ (sigma) and can also be defined by a formula like the following:

Sample Standard Deviation

The standard deviation of the sample, the formula is as follows:

Counting

Determining the basis for calculating the variance is the desire to know the variation of each data group.

So that you can find out the variation of a data group, namely by reducing the data values ​​along with the average of the data group. After that, all the results are added up.

It's just that this method can no longer be used because the result will always be 0 (zero).

So, so that the result does not become 0, then what we do is by squaring each reduction in data value and the average of the data group is then done by adding.

That way, the result of the sum of the squares will have a positive value.

Variant values ​​that have been obtained from the division of the results of the sum of the squares with the data size (n).

However, when the variance value is applied, it is usually used to estimate the population variance. By using the formulas above, the value of the population variance will be greater than the sample variance.

In order not to be able to predict the population variance, n is used as a divisor for the sum of the squares and must be replaced with n-1 (degrees of freedom) so that the sample variance values ​​approach the population variance.

So the sample variance formula will be like this:

The value of the variant that has been obtained is a squared value.

For example, the average value unit is grams (g) so the variant value is grams (g) squared.

In obtaining the unit value, the variance is squared again so that the result can be the standard deviation.

To simplify the calculation, the formula for the variance and standard deviation can be derived.
4. Variant Formula

The variant formula is as follows:


5. Standard Deviation Formula

The standard deviation formula is as follows:

Information :

s2 = variant
s = standard deviation
xi = i-th value of x
= Average
n = Sample size

Examples of Standard Deviation Problems

Problem 1.In a class that has a total of 40 students, then the class will be used as a sample to measure the height of 9 students, and the following data is obtained:

165, 170, 169, 168, 156, 160, 175, 162, 169.

Calculate the standard deviation of the sample data above.

So it is known that the Standard Deviation Value is 5.83.

Standard Deviation Formula: Definition and Example Problems

Problem 2Mr. Ariyanto took the height of 10 students at SD Suka Jaya as a sample. Below is sample data collected by Mr. Ariyanto:

172, 167, 180, 170, 169, 160, 175, 165, 173, 170

Then, calculate the standard deviation based on the problem above.

Answer:

It is known that the amount of data (n) = 10 and (n-1) = 9. After that, you first look for the variant. To make it easier to calculate, you can also arrange a table like the image below.

From the table above, the next step is to calculate as below.

Then, plug it into the Variant formula. So it will be like this:

So from here we already know that the variance value is 30.32. Therefore, for how to calculate the standard deviation, you only need the square root value of the variance.

s = √30.32 = 5.51

So, the standard deviation of the example above is 5.51.

Thus the review from About the knowledge.co.id about Standard Deviation Formula, hopefully can add to your insight and knowledge. Thank you for visiting and don't forget to read other articles.

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