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Given that some g are not h is false, what is the answer?
1) True
2) False

1 Answer

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Final answer:

The statement 'Given that some g are not h is false' implies G and H are not mutually exclusive, or one entirely entails the other. Mutually exclusive means the two events cannot happen together, whereas independent events do not affect each other's probability. Probability expressions like P(H OR G) and P(H|G) are useful to understand the relations between G and H.

Step-by-step explanation:

The initial statement 'Given that some g are not h is false' suggests that in the context of probability, G and H must be mutually exclusive events or one event entails the other; to say 'some G are not H' is inherently false. Thus, we can infer that every 'G' must also be an 'H' in this context, or vice versa, indicating a connection between the two events.

Mutually Exclusive and Independent Events

For two events to be mutually exclusive, they cannot happen at the same time. An example can be represented with two events: event G (rolling a 4 on a six-sided die) and event H (rolling an odd number on the same die). Because a die roll cannot result in both an odd number and the number 4, these events are mutually exclusive.
On the other hand, independent events have no impact on each other's probability; the occurrence of one doesn't affect the likelihood of the other occurring. An example would be flipping a coin (event G) and rolling a die (event H). No matter whether the coin lands on heads or tails, it doesn't change the probability of rolling any specific number on the die.

If event G occurring means event H definitely does not occur (or vice versa), the statement 'Given that some G are not H is false' corresponds to the idea of mutual exclusivity. If the events are not mutually exclusive, then it can be possible to have some G that are not H, making the statement true.

Probability Calculations

  • To find P(H OR G), we would add P(G) and P(H) if the events are mutually exclusive. The formula is P(H OR G) = P(G) + P(H) since the events cannot overlap.
  • If G and H are independent, then P(H|G), the probability of H given that G has occurred, would simply be P(H), and the aforementioned condition of mutual exclusivity would be irrelevant.

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