<p>以下是每个结果的定义:</p>
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<blockquote>
<p><a href="https://statisticsbyjim.com/hypothesis-testing/degrees-freedom-statistics/" rel="nofollow noreferrer"><strong>df:</strong></a> In statistics, the degrees of freedom (DF) indicate the number of independent values that can
vary in an analysis without breaking any constraints. It is an essential idea that appears in
many contexts throughout statistics including hypothesis tests,
probability distributions, and regression analysis.</p>
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<blockquote>
<p><a href="https://en.wikipedia.org/wiki/P-value" rel="nofollow noreferrer"><strong>pvalue:</strong></a> In statistics, the p-value is the probability of obtaining results as extreme as the observed
results of a statistical hypothesis test, assuming that the null hypothesis is correct.</p>
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<blockquote>
<p><a href="https://en.wikipedia.org/wiki/Statistic" rel="nofollow noreferrer"><strong>statistic:</strong></a> A statistic (singular) or sample statistic is any quantity computed from values in a sample
that is used for a statistical purpose. Statistical purposes include estimating a population parameter,
describing a sample, or evaluating a hypothesis.</p>
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<p>如您所见,定义与每个元素的值无关,重要的是数量</p>
<p>您的程序为您的用户返回相同的内容
<br/>
<code>[[1,4,5],[9,6,8]]</code>、<code>[[10,4,5],[9,6,8]]</code>、<code>[[55,88,77],[99,46,88]]</code>等<br/>因为每个列表中有3个元素</p>
<p>Cochran的Q检验是一种<strong>非参数<strong>方法,用于在三个或三个以上频率或比例的匹配集合中发现差异。这意味着,当执行Cochran的Q测试时,<strong>每个元素的值并不重要</p>