7.11
Continuous probability distributions model random variables that can take any real value within a range. For example, the height of adult females might be 163.5, 165.25 centimeters, or any value in between. This makes height a continuous random variable.
The probability of this variable is described using a probability density function—a smooth curve over the variable’s range. The unit of this density is the reciprocal of the variable’s unit.
The total probability that the variable falls within a specific interval is found by calculating the area under the curve for that range. For example, the probability that a woman’s height is between 150 and 170 centimeters is found by integrating the density function over that range.
If the result is 0.75, it means that 75% of women in the population have heights within that interval.
But for an exact height, the probability is zero because integrating over a single point gives zero area.
A valid probability density function is always non-negative and integrates to 1 across the entire range of possible values for the random variable.
Continue kansverdelingen worden gebruikt om willekeurige variabelen te modelleren die elke reële waarde binnen een bepaald bereik kunnen aannemen. Dez…
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