Answer this question…
one event directly triggers the other.
Causation
Cause and Effect
Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.
What is the difference between dependant and independent events in terms of probability
Elapsed time refers to the time that passes between two events.
Causation
The relationship between two events in which one leads directly to the other occurring
Causation
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.
both have connections between multiple events
occurred at the same time but did not influence each other.
A hypothesis is a testable proposition that describes a potential relationship between events. It is a statement that can be tested through scientific methods to determine its validity. Hypotheses are often used in research to guide investigations and draw conclusions based on evidence.
If the events happened around the same time but one did not cause the other
To show a relationship between events
Sam had not eaten breakfast; he was hungry.
To show a relationship between two events.
COINCIDENCE - a chance relationship between dissimilar events or circumstances