Continuous variable

Continuous values can be measured to any level of precision, so between any two values there is always another possible value. For example, a runner's time of 12.47 seconds could in principle be 12.471 or 12.4713 seconds. Because exact values have probability zero, you describe a continuous variable with a density curve and find probabilities as areas under it. The total area under a density curve equals $1$.