There are an indeterminate number: thousands upon thousands.
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They are probability distributions!
discrete & continuous
Yes, but not just continuous prob distribs. It applies to discontinous or discrete distributions as well.
Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal. The uniform distribution can be discrete or continuous.
There are not just 4 probabilities. Probability is a continuous variable ranging from 0 to 1: it can take infinitely many values.There are not just 4 probabilities. Probability is a continuous variable ranging from 0 to 1: it can take infinitely many values.There are not just 4 probabilities. Probability is a continuous variable ranging from 0 to 1: it can take infinitely many values.There are not just 4 probabilities. Probability is a continuous variable ranging from 0 to 1: it can take infinitely many values.