# Standard Deviation calculator

Grouped data refers to data that has been organized or grouped into categories or classes. This is done in order to simplify large sets of data and make it easier to analyze.

Enter the data in the form of frequency distribution table:

Class Interval(Mid-point) Frequency

### Learn how to calculate Standard Deviation Step by step click here

#### what is standard deviation

Standard deviation is a factual idea used to decide how much variety or scattering in a dataset from its mean or normal worth. This action is utilized to show how much the data of interest in a set contrast from the normal. A low standard deviation implies that the information focuses are firmly bunched around the mean, while an elevated requirement deviation implies that the information focuses are broadly scattered. This estimation is usually applied in fields like money, financial matters, and brain research to break down and decipher information.

#### Step 1: Calculate the midpoint of each interval

To calculate the standard deviation of grouped data, you need to manually calculate the midpoint of each class interval. You have to simply add the range and then divide by 2, with that done you can enter the midpoint for each interval into the calculator

#### Step 2: Input your data

you should enter the midpoint and the frequency for all the data which needs be used to calculate the standard deviation. Example if you have midpoint 2.5, 3.5, 4.5 and the frequency 4, 7, 10 you should enter all of them into the calculator.

click add row button to input more records until you have captured every data set required. after all the data has been inputted the calculator will compute standard deviation formula for grouped data

#### Step 4 Click Calculate Standard Deviation

By clicking on the Calculate Standard Deviation button the answer will be displayed below. note that the answer found based on the data inputted.

#### Tips you should consider

1. Choose an appropriate number of intervals: The number of intervals you choose should be based on the range and variability of your data. If you have a large range of values, you may need more intervals to capture the variability. However too many intervals can also make it difficult to see patterns in the data.
2. Ensure to input accurate data into the calculation. Therefore you to make sure that the midpoint is correct and the frequency which is been inputted.