卡方檢驗是一種統計量的分布在零假設成立時近似服從卡方分布的假設檢驗。在

卡方檢驗是一種統計量的分布在零假設成立時近似服從卡方分布的假設檢驗。在沒有其他的限定條件或說明時，卡方檢驗一般指代的是皮爾森卡方檢驗。在卡方檢驗的一般運用中，研究人員將觀察量的值劃分成若干互斥的分類，並且使用一套理論嘗試去說明觀察量的值落入不同分類的機率分布的模型。

結果 (英文) 1:

Chi-square test is a statistical distribution amount at zero hypothesis holds approximately obey the chi-square distribution hypothesis testing. When no other qualification or description, chi-square test generally refers to the Piersenka square test. In general the use of chi-square test, researchers observed value of the amount of a classification into a number of mutually exclusive, and a theoretical attempt to use the observable value falls described model different classes of probability distributions.

結果 (英文) 2:

The card-side test is a hypothetical test in which the distribution of zero-value is approximately subject to the distribution of the square. In the absence of other qualifications or instructions, the card test generally refers to the Pearson card test. In the general application of the card-side test, the researchers divided the values of observations into several mutually exclusive classifications and used a set of theories to try to illustrate a model of the probability distribution of the values of the observed amount to different classifications.

結果 (英文) 3:

Chi square test is a kind of hypothesis test that the distribution of statistics approximately obeys the chi square distribution when the zero hypothesis is established. In the absence of other restrictions or instructions, chi square test generally refers to Pearson chi square test. In the general application of chi square test, researchers divide the value of observation into several mutually exclusive categories, and use a set of theory to try to explain the probability distribution model of the value of observation falling into different categories.