They say .014(the P-Value) is a “significant number”. Says who? Why? Isn’t any number “significant” if the distribution of data points is mostly around that area?
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The p-value is not a number in the data you are analysing.
Basically when you are studying a phenomen, you try make an hypothesis about how it works. Than you measure a bunch of data relevant this hypothesis.
There is a branch of statistics that deal with method for analysing data. You can compare the measured data with the ideal behaviour that would come from the behaviour you hypothesised and the output is a probability that the data does NOT actually come from the hypothesised behaviour.
The p-value is this number, so the lower the p-value the more likely it is that your hypothesis is actually correct and not mmere chance.
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