Answer:
Correlation and causation are two very different things
Explanation:
Correlation means that two or more factors are dependent on each other in a way that one can be predicted with the help of the other. On the other hand, causation means that one thing causes another. For instance, a correlation between ice cream consumption and hot weather means that when its hot people eat ice cream more and in less hot weather people eat less ice cream. But if this correlation is confused with causation between ice cream demand and hot weather then it would mean that eating ice cream causes hot weather which will not be correct. Also for causation, three criteria should be met which are correlation, no effect of third extraneous variable and this casual effect should precede all other rational effects.
Might be menopause that could be the reason of her stopped mensuration
When an individual gives something to someone else but expects nothing in return, this is an example of Generalized reciprocity.
Generalized reciprocity is the phenomenon in that people deal with others in the same way that others treated them in the past. besides the behavioral results, whether or not aim facts additionally manipulate generalized reciprocal behavior remains uncertain.
Generalized reciprocity is gift giving without the expectancy of a direct return. as an instance, if you are shopping with a pal and also you buy him a cup of espresso, you could assume him to buy you one in return at some time in the future
Generalized reciprocity: This form regularly entails exchanges within families or pals. there may be no expectation of a back prefer; alternatively, human beings without a doubt do something for any other character based on the belief that the opposite individual might do the equal element for them. This sort of reciprocity is related to altruism.
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