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The information on this site is from academic and research studies. Applicability to humans must be determined by a licensed medical professional.

Symptoms when microbiome was taken

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.

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).
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)

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 abnormalities with bacteria. Are there A LOT more or less than expected in one or more of the brackets?

Restricted to

  1. Gender: Female
  2. Bacteria

    The Box-Plot method is used to compute significant, using the counts in each of the 4 quartiles from the full population of samples. See this page on the associated blog for more information.

    Only statistically significant patterns are shown below. The number in each Quartile are expected to be the same. Observed for these conditions is shown.

    Bacteria People Expected in each group Bottom 25% Low 25% High 25% Top 25% P Value Eureka!
    136 34 15 34 42 45 0.0011 False
    138 34.5 37 46 35 20 0.0176 False
    137 34.25 20 33 41 43 0.0229 False
    122 30.5 18 30 34 40 0.0369 False
    113 28.25 16 33 25 39 0.0143 False
    136 34 51 28 27 30 0.00944 False
    132 33 23 29 30 50 0.00573 False
    75 18.75 23 9 17 26 0.0293 False
    29 7.25 12 5 2 10 0.0342 False
    87 21.75 25 18 13 31 0.0353 False
    141 35.25 21 33 43 44 0.0205 False
    93 23.25 21 13 28 31 0.0404 False
    19 4.75 0 3 8 8 0.02 False
    98 24.5 23 14 24 37 0.0118 False
    133 33.25 47 31 32 23 0.0287 False
    46 11.5 10 15 18 3 0.0106 False
    126 31.5 41 37 28 20 0.0382 False
    102 25.5 22 20 22 38 0.0407 False
    93 23.25 34 24 16 19 0.0453 False
    136 34 16 34 42 44 0.00246 False
    141 35.25 40 46 35 20 0.0146 False
    127 31.75 16 31 42 38 0.00622 False
    136 34 40 41 36 19 0.0263 False
    16 4 9 4 2 1 0.0233 False
    85 21.25 23 19 12 31 0.0309 False
    17 4.25 8 6 3 0 0.0344 False
    38 9.5 8 4 8 18 0.0104 False
    57 14.25 5 12 22 18 0.00905 False
    30 7.5 7 15 6 2 0.00785 False
    29 7.25 2 5 8 14 0.0125 False
    86 21.5 19 12 25 30 0.0381 False
    55 13.75 13 9 10 23 0.0303 False
    44 11 4 12 17 11 0.0499 False
    108 27 41 15 31 21 0.00228 False
    93 23.25 22 15 21 35 0.0274 False
    31 7.75 14 4 9 4 0.0311 False
    125 31.25 15 31 42 37 0.00421 False

    Warning: By random chance, 5% (PValue 0.05) are likely to be reported. So if 1000 bacteria are checked, 50 will likely be reported as "0.05 significant" (5% of 1000). The Eureka column shows those that are likely to be meaningful.

    The Eureka PValues is about 0.00101522842639594 because we have 492 bacteria examined.


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