"rankit" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "rank",
        "3": "unit",
        "nocap": "1"
      },
      "expansion": "blend of rank + unit",
      "name": "blend"
    }
  ],
  "etymology_text": "Possibly a blend of rank + unit, along the lines of probit.",
  "forms": [
    {
      "form": "rankits",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "rankit (plural rankits)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
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        {
          "kind": "other",
          "name": "English blends",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
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            "Entry maintenance"
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      "examples": [
        {
          "text": "For a sample size of 6, the rankits are approximately −1.2672, −0.6418, −0.2016, 0.2016, 0.6418, and 1.2672. This means, for example, that the second largest value of a sample is likely to be around 0.6148.",
          "type": "example"
        },
        {
          "ref": "1969, Robert R[euven] Sokal, F. James Rohlf, Biometry: The Principles and Practice of Statistics in Biological Research, San Francisco, C.A.: W. H. Freeman and Company, page 124:",
          "text": "A special problem illustrated in this example is the case of ties, or variates of identical magnitude. In such a case we sum the rankit values for the corresponding ranks and find their mean.",
          "type": "quote"
        }
      ],
      "glosses": [
        "The expected value of the nth largest value (for some n) in a standard normal distribution sample of a particular size, used in normality testing."
      ],
      "id": "en-rankit-en-noun-gNOm1C~g",
      "links": [
        [
          "expected value",
          "expected value#Noun"
        ],
        [
          "standard normal distribution",
          "standard normal distribution#Noun"
        ],
        [
          "normality",
          "normality#Noun"
        ]
      ]
    }
  ],
  "word": "rankit"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "rank",
        "3": "unit",
        "nocap": "1"
      },
      "expansion": "blend of rank + unit",
      "name": "blend"
    }
  ],
  "etymology_text": "Possibly a blend of rank + unit, along the lines of probit.",
  "forms": [
    {
      "form": "rankits",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
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      "expansion": "rankit (plural rankits)",
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  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
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        "Pages with 1 entry",
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      "examples": [
        {
          "text": "For a sample size of 6, the rankits are approximately −1.2672, −0.6418, −0.2016, 0.2016, 0.6418, and 1.2672. This means, for example, that the second largest value of a sample is likely to be around 0.6148.",
          "type": "example"
        },
        {
          "ref": "1969, Robert R[euven] Sokal, F. James Rohlf, Biometry: The Principles and Practice of Statistics in Biological Research, San Francisco, C.A.: W. H. Freeman and Company, page 124:",
          "text": "A special problem illustrated in this example is the case of ties, or variates of identical magnitude. In such a case we sum the rankit values for the corresponding ranks and find their mean.",
          "type": "quote"
        }
      ],
      "glosses": [
        "The expected value of the nth largest value (for some n) in a standard normal distribution sample of a particular size, used in normality testing."
      ],
      "links": [
        [
          "expected value",
          "expected value#Noun"
        ],
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          "standard normal distribution",
          "standard normal distribution#Noun"
        ],
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          "normality",
          "normality#Noun"
        ]
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    }
  ],
  "word": "rankit"
}