![]() We are usually interested in knowing the population standard deviation because our population contains all the values that we are interested in. When to use the sample or population standard deviation These two standard deviations (sample and population standard deviations) are calculated differently. A higher value indicates that there is widespread variation in the data points.Īnother point to note is that we can have two approaches: population deviance and sample deviance. ![]() ![]() A lower value indicates that the data points tend to be closer to the mean value.Interpreting the value of the standard deviation: Therefore, we can conclude that the Standard Deviation is the measure that determines the dispersion of values (up or down) relative to the mean value. This means that the weight of most people is within 4 kg of the average weight (which would be 56Kg to 64Kg). In this group of people, the average weight is 60Kg and the standard deviation is 4Kg. Suppose you have a group of five people and you want to get the weight (in kg) of each of them. It might seem confusing at first, so let's give you a practical example. Within the study of probability, the Standard Deviation represents a measure of dispersion around the average. Browse the topic of your interest: After all, what is the standard deviation?
0 Comments
Leave a Reply. |