"P-value is like an universal quantity for all the test statistics. Even we have different test statistics for different hypothesis using different data, the p-value between all of them are comparable to each other since it is a measure of support for. H0. Thus, this allows us to compare p-values while doing multiple test which is why "
"The P-value is like an estimation of the probability that the null hypothesis
is true. Because our objective it to reject the null hypothesis (i.e., to
disprove the null hypothesis), it is clear that small P-value are desired."
"Manhattan Plot is a scatter plot with the Y axis for the negative logarithm form of the p-values for each single nucleotide polymorphism (SNP), and the X axis for the genomic positions in each chromosome. The lower the p-value, the higher the negative logarithm of the p-value. A relatively extreme low p-value is like a skyscraper above the lower level 'buildings'. The SNPs can be classified in
to 22 chromosomes."
"In statistics the p-value is like a measurement of chance and the higher the p-value the higher the results are due to chance, and not due to the treatment."
METAMIA is a free database of analogy and metaphor. Anyone can contribute or search. The subject matter can be anything. Science is popular, but poetry is encouraged. The goal is to integrate our fluid muses with the stark literalism of a relational database. Metamia is like a girdle for your muses, a cognitive girdle.