"p-value" meaning in English

{
  "etymology_templates": [
    {
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        "1": "en",
        "2": "probability value"
      },
      "expansion": "probability value",
      "name": "m"
    }
  ],
  "etymology_text": "Short for probability value.",
  "forms": [
    {
      "form": "p-values",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "p-value (plural p-values)",
      "name": "en-noun"
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  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
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        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
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          "source": "w"
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        {
          "kind": "topical",
          "langcode": "en",
          "name": "Statistics",
          "orig": "en:Statistics",
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            "Formal sciences",
            "Mathematics",
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      ],
      "examples": [
        {
          "ref": "2008, Ton J. Cleophas, A.H. Zwinderman, Toine F. Cleophas, Eugene P. Cleophas, Statistics Applied to Clinical Trials, Springer Science & Business Media, page 145",
          "text": "The larger the p-value the smaller the chance of a difference. A p-value of 1.00 means 0 % chance of a difference, while a p-value of 0.95 means a chance of difference close to 0. A p-value of > 0.95 literally means that we have > 95 per cent chance of finding a result less close to expectation, which means a chance of < (1-0.95) , i.e., < 0.05 of finding a result this close or closer. Using the traditional 5 per cent decision level, this would mean, that we have a strong argument that such […]",
          "type": "quotation"
        }
      ],
      "glosses": [
        "In statistical significance testing, the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true."
      ],
      "id": "en-p-value-en-noun-IGadM56Q",
      "links": [
        [
          "statistics",
          "statistics"
        ],
        [
          "probability",
          "probability"
        ],
        [
          "statistic",
          "statistic"
        ],
        [
          "null hypothesis",
          "null hypothesis"
        ]
      ],
      "raw_glosses": [
        "(statistics) In statistical significance testing, the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true."
      ],
      "synonyms": [
        {
          "word": "asymptotic significance"
        },
        {
          "word": "probability value"
        }
      ],
      "topics": [
        "mathematics",
        "sciences",
        "statistics"
      ]
    }
  ],
  "word": "p-value"
}

{
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    {
      "args": {
        "1": "en",
        "2": "probability value"
      },
      "expansion": "probability value",
      "name": "m"
    }
  ],
  "etymology_text": "Short for probability value.",
  "forms": [
    {
      "form": "p-values",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "p-value (plural p-values)",
      "name": "en-noun"
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  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
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        "en:Statistics"
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      "examples": [
        {
          "ref": "2008, Ton J. Cleophas, A.H. Zwinderman, Toine F. Cleophas, Eugene P. Cleophas, Statistics Applied to Clinical Trials, Springer Science & Business Media, page 145",
          "text": "The larger the p-value the smaller the chance of a difference. A p-value of 1.00 means 0 % chance of a difference, while a p-value of 0.95 means a chance of difference close to 0. A p-value of > 0.95 literally means that we have > 95 per cent chance of finding a result less close to expectation, which means a chance of < (1-0.95) , i.e., < 0.05 of finding a result this close or closer. Using the traditional 5 per cent decision level, this would mean, that we have a strong argument that such […]",
          "type": "quotation"
        }
      ],
      "glosses": [
        "In statistical significance testing, the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true."
      ],
      "links": [
        [
          "statistics",
          "statistics"
        ],
        [
          "probability",
          "probability"
        ],
        [
          "statistic",
          "statistic"
        ],
        [
          "null hypothesis",
          "null hypothesis"
        ]
      ],
      "raw_glosses": [
        "(statistics) In statistical significance testing, the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true."
      ],
      "synonyms": [
        {
          "word": "asymptotic significance"
        },
        {
          "word": "probability value"
        }
      ],
      "topics": [
        "mathematics",
        "sciences",
        "statistics"
      ]
    }
  ],
  "word": "p-value"
}