caveman1917
Philosopher
- Joined
- Feb 26, 2015
- Messages
- 8,143
Probability is most generally a function of possible outcomes (and other parameters)
No, the domain of a probability function is a sigma-algebra, which contains the possible outcomes but is larger than that.
More importantly, a probability function does not depend on other parameters. Again, the domain of a probability function is a sigma-algebra. Sometimes interesting classes of probability functions are grouped and indexed by parameters (such as the normal distribution with parameters mean and variance) but the class of such functions is not a probability function itself. Each individual instance of such a class (for example the normal distribution with a specific value for mean and variance) is a probability function, but the class (group) itself isn't.
In our simple examples we typically choose devices that have a discrete uniform probability density, where the density function is 1/N.
Which reminds me, since nobody took the bait: 3 points for anyone proving that, given the definitions and assertions in my post:
1. P can not be uniform.
2. That hence the 3rd Venn diagram is actually impossible to draw given the assertion at the start of the post of each pixel representing an outcome, and that I tried to pull a fast one with it.