Correlation is when two things are related or have similar properties and they can exist independently. Causation means that one thing made the other thing happen.
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
What is a causation Chart?
Answer this question… one event directly triggers the other.
The relationship between two events in which one leads directly to the other occurring
Causation
occurred at the same time but did not influence each other.
Causation
If the events happened around the same time but one did not cause the other
Historical causation and correlation both involve relationships between events or variables. However, causation implies a direct relationship where one event causes another, while correlation suggests a statistical relationship where changes in one event may be associated with changes in another, without implying causation. Both concepts are used to interpret patterns in data or events.
Correlation is when two things are related or have similar properties and they can exist independently. Causation means that one thing made the other thing happen.
The philosophy of causation examines the relationship between causes and effects. It explores questions about how events are connected and if causation is deterministic or probabilistic. Philosophers also consider issues such as whether causation is a fundamental feature of reality or simply a useful way to understand the world.
No, a law of Universal Causation is a broader concept that suggests all events have specific causes, while Newton's Law of Universal Gravitation specifically describes the attraction between two masses. The two concepts are not directly related in terms of causation.
A cause implies a direct relationship between two factors where one factor results in the other. Correlation, on the other hand, refers to a relationship where two factors are observed to change together but may not have a direct cause-and-effect link. Correlation does not imply causation.
The study of causation is called causality or causation theory. It involves examining the cause-and-effect relationships between variables or events to understand how one factor influences another.