Hypothesis Testing We start with an example
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P-value,
which measures the strength of the disagreement
between the evidence and
. The P-value
measures the plausibility of
, given the evidence.
The smaller the P-value
, the more
inclined we are to reject
and believe
to be true instead.
Let’s see how this is done in this example.
We have a sample mean of 92 based on 50 samples and we start by
assuming the null hypothesis
is true.
1. If
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. The P-value 
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