There are a few ways to identify a probability distribution:
* You can plot the probability of each outcome against the outcome itself. If the resulting graph is a smooth curve, then the distribution is likely to be a continuous distribution. If the resulting graph is a step function, then the distribution is likely to be a discrete distribution.
* You can calculate the mean and variance of the distribution. If the mean and variance are finite, then the distribution is likely to be a normal distribution.
* You can use statistical software to fit a probability distribution to the data.