>>10834749Ok, uniform distribution means that there's an equal probability of an event happening. With an event being anything you are measuring the outcome, for example, a coin flip is a uniform distribution since all the probabilities are equally distributed. A normal distribution instead, represents any events that have more probability to happen at certain points, it's called normal because usually most things have this behavior, for example, the height of a sample, weight, IQ(which is fake), the color of certain bird species, usually in normal distribution you have some events that are considered normal (which have a higher probability to happen) for example, if you would measure the color of the crows near your area you would see that almost every single crow is black (which is considered normal) but you could see that there are some crows with slight variations, aka. not "normal", this lets you build your probability distribution, that is represented by the Gauss Bell. I don't have space to explain you binomial but I think this is enough.
Also you should try to google this, is basic probability and the mathematical approach is way better than my explanation for dummies. Good luck
