Saturday, April 22, 2017

Null hypothesi and p-value

Null hypothesis implies there is no relationship between two measured phenomena. The p-value is a probability that the event happening occurred if the null hypothesis were true. Using the .05 level of significance means if the null hypothesis is true, the odds we would get our result is 5 times out of 100 (or 1 out of 20).

1 comment:

  1. A posteriori knowledge is testable post experiments but can never be deemed God like certain.
    A priori is a axiom given to be true. It can be contradicted.

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