If A and B are two events then
P(A or B) = P(A) + P(B) - P(A and B)
Yes, but that might not always make sense.
When two probabilities are added together, the result represents the probability of either of the two events occurring, provided that the events are mutually exclusive (i.e., they cannot happen at the same time). If the events are not mutually exclusive, their combined probability would require adjustments to avoid double-counting the overlap. Thus, in the case of mutually exclusive events, the sum of their probabilities is a valid representation of a simple event.
Theoretical probabilities are calculated based on ideal conditions and assume that all outcomes are equally likely, while experimental probabilities are derived from actual trials and can be influenced by various factors. Differences between the two can arise due to random variation, sample size, or experimental errors. Additionally, real-world conditions may introduce biases or limitations that deviate from theoretical assumptions. As more trials are conducted, experimental probabilities typically converge toward theoretical probabilities due to the Law of Large Numbers.
No, it is not.
A peditrician might need to use math to determine the kind of disease for probabilities.
No, it is not.
Yes, but that might not always make sense.
When two probabilities are added together, the result represents the probability of either of the two events occurring, provided that the events are mutually exclusive (i.e., they cannot happen at the same time). If the events are not mutually exclusive, their combined probability would require adjustments to avoid double-counting the overlap. Thus, in the case of mutually exclusive events, the sum of their probabilities is a valid representation of a simple event.
Yes. no its not its false :from Scott Powell
Yes, two probabilities.
Theoretical probabilities are calculated based on ideal conditions and assume that all outcomes are equally likely, while experimental probabilities are derived from actual trials and can be influenced by various factors. Differences between the two can arise due to random variation, sample size, or experimental errors. Additionally, real-world conditions may introduce biases or limitations that deviate from theoretical assumptions. As more trials are conducted, experimental probabilities typically converge toward theoretical probabilities due to the Law of Large Numbers.
The principle of additivity states that the probability of the union of two mutually exclusive events is equal to the sum of their individual probabilities. This means that when events are mutually exclusive (cannot both occur at the same time), their probabilities can be added together to find the probability of either event occurring.
No, it is not.
you might be suprised but i saw it was 1.8 billion or something like that .
A peditrician might need to use math to determine the kind of disease for probabilities.
I do not add probabilities to anybody!
Empirical probabilities.