They are independent events.
The occurrence of one event does not affect the occurrence of the other event. Take for example tossing a coin. The first toss has no affect on the outcome of the second toss, so these events are independent.
No, two events cannot be mutually exclusive and independent simultaneously. Mutually exclusive events cannot occur at the same time, meaning the occurrence of one event excludes the possibility of the other. In contrast, independent events are defined such that the occurrence of one event does not affect the probability of the other occurring. Therefore, if two events are mutually exclusive, the occurrence of one event implies that the other cannot occur, which contradicts the definition of independence.
Any known future event.
Independent events.
A measure or estimate of the degree of confidence one may have in the occurrence of an event, measured on a scale from zero (impossibility) to one (certainty). It may be defined as the proportion of favourable outcomes to the total number of possibilities if these are indifferent.
Independent
Independent events.
The occurrence of one event does not affect the occurrence of the other event. Take for example tossing a coin. The first toss has no affect on the outcome of the second toss, so these events are independent.
Any known future event.
A claim of cause asserts that one event or factor has directly led to another event or outcome. It seeks to establish a causal relationship between the two variables, arguing that one is the reason for the occurrence of the other.
a single occurrence of a process, e.g., the ionization of one atom.
correlation
One official definition for the word sign is "an object, quality, or event whose presence or occurrence indicates the probable presence or occurrence of something else."
You should be able to as long as the event is charitable and not for profit and the event is a one shot occurrence .
That is the correct spelling of "occurrence" (an event).
A dependent event. Or rather, a dependent event is one whose probability of occurrence is affected by previous events. For instance, drawing a card from a deck is affected by previous draws, if there's no replacement.
Casual Relationship, APEX