They are methods of obtaining the probability of an event.
yes
They are "events that have the same probability". Nothing more, nothing less.
The probability of winning two games with the same probability of 0.8 can be calculated by multiplying the probability of winning the first game (0.8) by the probability of winning the second game (0.8). Therefore, the probability is 0.8 * 0.8 = 0.64, or 64%.
YES, I'M PRETTY SURE!!
They are methods of obtaining the probability of an event.
yes
They are "events that have the same probability". Nothing more, nothing less.
The probability of not a is the same as the complement of a, which is found by subtracting the probability of a from one (i.e., P(not A)=1-P(A)).
In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.
The probability of winning two games with the same probability of 0.8 can be calculated by multiplying the probability of winning the first game (0.8) by the probability of winning the second game (0.8). Therefore, the probability is 0.8 * 0.8 = 0.64, or 64%.
YES, I'M PRETTY SURE!!
Empirical and experimental probability are the same thing. They are the outcome of an experiment.
No, the combined probability is the product of the probability of their separate occurrances.
They are the same. The full name is the Probability Distribution Function (pdf).
A probability density function assigns a probability value for each point in the domain of the random variable. The probability distribution assigns the same probability to subsets of that domain.
Equiprobable, but I would stick with simplicity of communication and go with "having the same probability".