High variability means that the scores differ by a lot, while low variability means that the scores are all similar (“homogeneousness”). There are four frequently used measures of the variability of a distribution: range. Variability refers to how spread scores are in a distribution out that is, it refers to the amount of spread of the scores around the mean. Data sets can have the same central tendency but different levels of variability or vice versa. High variability means that the values are less consistent, so it’s harder to make predictions. Low variability is ideal because it means that you can better predict information about the population based on sample data. What is the difference between high and low variability? 11 How do you find the range of variability?.10 What is stock variability and why is it important?.9 What does variability mean in statistics?.5 What is another term for variability?.4 What is meant by variability in education?.1 What is the difference between high and low variability?.
