}

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

    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!
    17 4.25 1 0 1 15 6.13E-08 True
    28 7 6 3 2 17 0.000148 True
    17 4.25 1 1 1 14 1.5E-06 True
    21 5.25 3 12 2 4 0.00755 False
    39 9.75 8 9 5 17 0.0444 False
    65 16.25 12 11 27 15 0.0184 False
    98 24.5 18 20 24 36 0.0469 False
    36 9 3 4 8 21 4.26E-05 True
    252 63 64 48 56 84 0.00991 False
    23 5.75 2 6 2 13 0.00285 False
    55 13.75 10 10 11 24 0.0167 False
    26 6.5 3 5 4 14 0.00793 False
    20 5 10 2 2 6 0.0321 False
    37 9.25 10 9 15 3 0.0489 False
    165 41.25 33 32 39 61 0.00403 False
    22 5.5 2 3 1 16 5.63E-06 True
    26 6.5 3 5 3 15 0.00163 False
    20 5 1 3 7 9 0.046 False
    16 4 1 2 3 10 0.00585 False
    72 18 8 27 21 16 0.013 False
    30 7.5 2 4 5 19 2.34E-05 True
    88 22 18 34 19 17 0.0318 False
    20 5 18 1 1 0 8.39E-10 True
    21 5.25 1 5 3 12 0.00444 False
    178 44.5 54 44 28 52 0.0242 False
    54 13.5 9 15 8 22 0.026 False
    473 118.25 145 121 105 102 0.02 False
    59 14.75 8 19 10 22 0.0243 False
    82 20.5 13 26 13 30 0.0099 False
    38 9.5 7 9 5 17 0.033 False
    24 6 2 1 2 19 3.33E-08 True
    33 8.25 18 6 4 5 0.00137 False
    440 110 113 130 110 87 0.0363 False
    19 4.75 2 4 3 10 0.0429 False
    19 4.75 2 9 8 0 0.00622 False
    59 14.75 24 17 8 10 0.0131 False
    24 6 0 1 2 21 6.78E-11 True
    56 14 23 15 11 7 0.0186 False
    325 81.25 103 79 74 69 0.0388 False
    54 13.5 24 13 7 10 0.00666 False
    54 13.5 7 21 16 10 0.0341 False
    21 5.25 2 3 1 15 1.94E-05 True
    317 79.25 97 79 61 80 0.0423 False
    21 5.25 3 4 3 11 0.0363 False
    27 6.75 3 5 6 13 0.0383 False
    18 4.5 16 1 1 0 1.48E-08 True

    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 0.000471475719000471 because we have 1060 bacteria examined.

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