What is Variance?
We measure the various values of the data and these values are used for a variety of purposes. The data can be given in two types grouped data, or ungrouped (discrete) data. If the data is given in the form of class intervals it is called grouped data whereas if the data is given in the form of a single data point it is referred to as a discrete or ungrouped data point. Variance is the measure of the dispersion of the data concerning the mean value of the data. It tells us how the data is dispersed in the given data value. We can easily calculate the sample variance and population variance for both grouped and ungrouped data.
Variance Definition
Variance is a statistical measure that quantifies the spread or dispersion of a set of data points. It indicates how much the individual data points in a dataset differ from the mean (average) of the dataset
Variance
Variance is a measurement value used to find how the data is spread concerning the mean or the average value of the data set. It is used to find how the distribution data is spread out concerning the mean or the average value. The symbol used to define the variance is σ2. It is the square of the Standard Deviation.
The are two types of variance used in statistics,
- Sample Variance
- Population Variance
The population variance is used to determine how each data point in a particular population fluctuates or is spread out, while the sample variance is used to find the average of the squared deviations from the mean.
In this article, we will learn about Variance (Sample, Population), their formulas, properties, and others in detail.
Table of Content
- What is Variance?
- Variance Definition
- Types of Variance
- Variance Symbol
- Variance Example
- Variance Formula
- Sample Variance Formula
- Population Variance Formula
- Variance Formula for Grouped Data
- Variance Formula for Ungrouped Data
- Formula for Calculating Variance
- How to Calculate Variance?
- Variance and Standard Deviation
- Variance and Covariance
- Variance Properties
- Examples on Variance Formula
- Summary – Variance
- FAQs on Variance
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