Difference between correlation and causation when analyzing data and drawing conclusions

Please find the difference between correlation and causation in the explanation section

Explanation:

Correlation and causation are two mistaken terms during data analysis and conclusion, however, these two terms mean different things.

Correlation shows that two variables relate to one another. In other words, two variables are said to CORRELATE if a relationship exists between them. For example, a correlation exists between sales of radios and sales of batteries because they are related.

On the other hand, causation describes how one variable's action causes an effect in the other variable. In other words, the one variable causes the other. For example, There is causation between sales of radios and sales of batteries if the sales of radio causes the sales of batteries.

The difference between these two is that the correlation of two things does not mean causation. That is, two things might be related but does not cause one another. Note that , sales of radio and batteries in the first example does not mean one causes the other.

it also supports my hypothesis. if you rest first you can squeeze the clothespin more times. from the data i collected the average of the eight people concluded exercise makes your muscles more fatigued and less able to squeeze the clothespin compared to resting before squeezing.

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