What does homogeneity of variance mean in statistics

What does homogeneity of variance mean in statistics?

The idea of a normal curve is that most numbers are close to the mean and normally distributed, while the remaining values are less common. If the spread of the data is equal for all data points, the sample is said to have a homogeneous variance.

What is homogenous variance mean in statistics?

Under normal circumstances, the size of the variance of a sample of numbers is expected to vary from one number to another, rather than remaining constant. If the variance of a sample of numbers is the same for all of them, regardless of where they fall on the average, we say the variance is homogeneous.

What is homoscedastic variance mean in statistics?

A statistical model has homoscedastic variance if the standard deviation of the residuals from the model does not depend on the value of the variable on the x-axis. For example, if you are trying to fit a line through a scatterplot of data points, you want the standard deviation of the residuals to be the same no matter where the line goes. If it doesn’t, someone who gets a lot of blue dots and someone who gets a lot of red dots will have

What does homoscedastic variance mean in statistics?

When we talk about variance in statistics, we usually refer to the variance of a sample about its mean. Let’s take a closer look at this. If we have a population of data, then the variance of the sample is the population variance plus an additional term called the sampling variance. The sampling variance is an estimate of the variance of the population based on the sample we have taken. If the population variance is constant, then the sampling variance is also constant. This means that the scatter of

What do homogenous variance mean in statistics?

If the variance of the population from which you gathered the data is the same for all possible values of the population, then the population has a homogenous variance. If the variance of the data collected from one group is different from the variance of the data collected from the other group, then the variance is heterogeneous.