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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. Official Diagnosis: Chronic Fatigue Syndrome
  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!
    81 20.25 13 14 30 24 0.0193 False
    80 20 21 26 24 9 0.0336 False
    34 8.5 8 2 15 9 0.0186 False
    18 4.5 4 9 5 0 0.0278 False
    28 7 4 3 14 7 0.0143 False
    39 9.75 4 10 17 8 0.028 False
    49 12.25 8 8 11 22 0.0126 False
    27 6.75 5 4 3 15 0.00328 False
    53 13.25 21 15 11 6 0.0278 False
    19 4.75 2 11 5 1 0.00511 False
    74 18.5 13 12 31 18 0.00619 False
    79 19.75 12 14 30 23 0.0143 False
    81 20.25 22 26 24 9 0.0331 False
    74 18.5 13 12 28 21 0.0275 False
    19 4.75 2 11 5 1 0.00511 False
    80 20 20 30 19 11 0.028 False
    49 12.25 4 17 13 15 0.0448 False
    39 9.75 10 4 6 19 0.00348 False
    68 17 17 24 20 7 0.0256 False
    16 4 4 1 9 2 0.0233 False
    74 18.5 21 28 9 16 0.0152 False
    22 5.5 2 6 11 3 0.0305 False
    17 4.25 3 1 4 9 0.0425 False
    76 19 17 13 16 30 0.03 False
    21 5.25 2 5 2 12 0.0053 False
    17 4.25 3 1 3 10 0.0117 False
    70 17.5 11 17 14 28 0.0241 False
    73 18.25 13 12 28 20 0.0289 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 0.0012970168612192 because we have 385 bacteria examined.


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