P VALUE WELL EXPLAINED [Easy and Quick]
The P value or P Value is directly related to the significance which is how reliable your experiment is, and based on that value you can reject the null hypothesis (H0) and confirm the relationship between your exposure (Smoking) and your outcome (Heart attack); EXAMPLE:
NULL HYPOTHESIS: Smoking is not related to having an acute myocardial infarction.
Biostatistics #Pvalue # Statistics
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#pvalue #statistics #biostatistics
ALTERNATIVE HYPOTHESIS: Smoking is related to having an acute myocardial infarction.
P value = 0.05, it is concluded that the Null Hypothesis is rejected. (0.05 equal or less), that is to say that smoking has to do with or is related to having a heart attack.
As the P value is the maximum error that we can tolerate in our experiment (Alpha Error), with a P value of 0.05 we have a 95% confidence interval since 0.05 x 100 = 5% + 95% = 100%. , that is 5% error with 95% security.
The lower the alpha error, the greater the reliability and validity of our experiment.
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