Describe the difference between the terms variance and standard deviation.
Variance is a measure of how much a data set moves from its mean. It is calculated by taking the mean of the data and then finding the difference between each data point and the mean. Standard deviation is a measure of how much data points deviate from the mean. It is calculated by finding the difference between each data point and the mean and then taking the square root of the result. Both variance and standard deviation are used to measure the spread of a data set and can be used to calculate the probability of a data point occurring.
Variance is a measure of the spread of a dataset, and is calculated by squaring the differences between a set of data values and finding their sum. Standard deviation is also a measure of how far data points are from the mean, but is calculated by taking the mean of the squared differences. In other words, variance is determined by how far each data point is from the mean of all the data, while standard deviation is determined by the average of those distances.