1. Uniform.

2. Binomial.

3. Multinomial.

4. Hypergeometric.

5. Poisson.

6. Geometric.

Uniform

Poisson

1. Poison Processes:

   • Average number of events in a period is known but the time and space between events is random.

   • Ex: number of website visits in a day.

2. Poison Distribution:

   • Probability of some number of events occurring over a fixed period of time.

   • Ex: Probability of less than 200 visits to a website in a day.

3. Lambda (λ):

   • The average number of events per time interval.

   • Or: the expected value of the distribution.

4. Difference to Normal Distribution:

   • The normal distribution is continuous and symmetric, used for modeling continuous data.

   • The Poisson distribution is discrete and skewed, used for modeling count data involving events occurring over intervals.