**Probability Density Function (PDF)**: This function gives the likelihood of a continuous random variable at a particular value. In the discrete cases, we call this by the name of probability mass function (**PMF**).

**Cumulative Distribution Function (CDF)**: This function gives the accumulative probability of all the values less than or equal to a particular value. In other words, CDF gives accumulative probability from (negative)Â infinity to a said value.

Probability at a certain value is obtained by PDF or PMF depending on the case, while as probability of values less than *x *or probability between the range is obtained via CDF [1]. Basic R code to understand each of these functions is explained at this link.

**References:**

- http://math.stackexchange.com/a/697467/270045
- https://onlinecourses.science.psu.edu/stat414/node/88

### Like this:

Like Loading...