 # How do you interpret coefficient of variation?

## How do you interpret coefficient of variation?

The higher the coefficient of variation, the greater the level of dispersion around the mean. It is generally expressed as a percentage. Without units, it allows for comparison between distributions of values whose scales of measurement are not comparable.

How do you interpret variability?

While the mean is relevant, people often react to variability even more. When a distribution has lower variability, the values in a dataset are more consistent. However, when the variability is higher, the data points are more dissimilar and extreme values become more likely.

### Why is standard deviation preferable to the range as a measure of variation?

The standard deviation is preferable to the range as a measure of variation because the standard deviation takes into account all of the​ observations, whereas the range considers only the largest and smallest ones.

Should I use range or standard deviation?

Ultimately, both the range and the standard deviation give you an idea about the variability of your data, or how much each value differs from the mean. The range is useful, but the standard deviation is considered the more reliable and useful measure for statistical analyses.

#### What are the three most important measures of center?

The​ mean, median, and mode are the most important measures of center. The mean of a data set is its arithmetic average. The median of a data set is the middle value in its ordered list. The mode of a data set is its most frequently occurring value.

How is the range used as a measure of variation?

A range is one of the most basic measures of variation. It is the difference between the smallest data item in the set and the largest. For example, the range of 73, 79, 84, 87, 88, 91, and 94 is 21, because 94 – 73 is 21.

## Is mode a measure of variation?

Three measures of central tendency are the mode, the median and the mean. The variance and standard deviation are two closely related measures of variability for interval/ratio-level variables that increase or decrease depending on how closely the observations are clustered around the mean.

What is a measure of variation?

Measures of variation are used to describe the distribution of the data. The range is the difference between the greatest and least data values. Quartiles are values that divide the data set into four equal parts. The median of the upper half of a set of data is the upper quartile or UQ; in this case, 3.5.

### What are the four measures of variation?

There are four frequently used measures of variability: the range, interquartile range, variance, and standard deviation. In the next few paragraphs, we will look at each of these four measures of variability in more detail.

How do you know if variance is high or low?

A small variance indicates that the data points tend to be very close to the mean, and to each other. A high variance indicates that the data points are very spread out from the mean, and from one another. Variance is the average of the squared distances from each point to the mean.

#### Is standard deviation affected by extreme values?

Although standard deviation is less susceptible to extreme values than the range, standard deviation is still more sensitive than the semi-quartile range.