We can define the sample variance as the mean of the square of the difference between the sample data point and the sample mean. the mean of the sample data set not the population mean. While calculating the sample mean we make sure to calculate the sample mean, i.e. In that case, we take a sample of data from the given data set and find the variance of that data set which is called sample variance. If the population data is very large it becomes difficult to calculate the population variance of the data set. It is used to give the squared distance of each data point from the population mean. When we want to find how each data point in a given population varies or is spread out then we use the population variance. It tells us about how the population of a group varies with respect to the mean population.Īll the members of a group are known as the population. The population is defined as a group of people and all the people in that group are part of the population. Population variance is used to find the spread of the given population. Role of Mahatma Gandhi in Freedom Struggle.
