They are experimental probabilities.
They are both measures of the probability of an event occurring.
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
They are probabilities: that is, estimates of the likelihood of an event happening.
Empirical probabilities.
A tree diagram!
They are experimental probabilities.
None of the experimental probabilities need match the corresponding theoretical probabilities exactly.
A large number of repeated trials.
They are both measures of the probability of an event occurring.
a tree diafram
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
They are probabilities: that is, estimates of the likelihood of an event happening.
They are both estimates of the probability of outcomes that are of interest. Experimental probabilities are derived by repeating the experiment a large number of times to arrive at these estimates whereas theoretical probabilities are estimates based on a mathematical model based on some assumptions.
Empirical probabilities.
Neither. Experimental or theoretical probabilities are methods that may be used to determine the probability that a given set of numbers will win, whereas your winning is the outcome of the event.
like for or we use + and for 'and' we use multiplication