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Warning: By random chance, 5% (PValue 0.05) are likely to be reported. So if 1000 bacteria are checked with none having a true relationship, 50 will likely be reported as "0.05 significant" (5% of 1000).
The Eureka column shows those that are likely to be meaningful because the odds are significantly less than 5 %.
p >
< h4 > Technical notes h4 >
< p >
Based on self-reporting of symptoms and conditions. Only items with 16 or more reports in the current filter are shown. 16 is the minimal level to detect significance.
p >
< p > There is a
bias i > in those that report symptoms --people with medical issues are more likely to enter symptoms.Showing significance on the entire with symptom population is not unexpected and likely points to shared factors of many medical conditions. p >
< p >
What are we doing? Imagine taking all of the salaries in a company and grouping them into the 4 EQUAL - SIZED groups - creating brackets(0 -$18000, $18000 -$63000, $63000 - $75000, over $75000).< br />
We now do a count of women in each of these brackets. We now look for counts in each bracket that are above or below expectation.If we see 75 % in $18000 -$63000
(instead of the expected 25 %), we would conclude that there may be inequality in wages for women.In some cases, the average women wage may be the same as men
(because a few of the highest paid are women, bringing up the average)< br />
< br /> In this case, it may be that women are not hired for maintenance, grounds(lowest bracket) or managers-- just as clerical.
This is how we detect < i > abnormalities i > with bacteria.Are there A LOT more or less than expected in one or more of the brackets ?
p >
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