Respuesta :
In statistics, variability refers to the spread or spread of a data set. It is a measure of how much the data points in the dataset differ from each other and from the mean (mean) of the data.
variability.
There are several ways to quantify dataset variability. A common measure of variability is range. This is the difference between the highest and lowest values in the dataset. Another measure of variability is variance. This is a measure of how far the data points are from the mean. Standard deviation is another measure of variability calculated by taking the square root of the variance.
In addition to these measures of variability, there are other statistical techniques that can be used to summarize the spread of datasets, such as: Box plot and histogram. These techniques help visualize data variability and identify outliers.
Understanding the variability of a dataset is important in statistical analysis as it helps identify patterns and trends in the data and predict future outcomes. It also helps identify sources of errors and biases in data and ensure the reliability and accuracy of conclusions drawn from data.
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