# 卡方检验—拟合优度

(Chi-Square goodness of fit test)

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Chi-Square goodness of fit test is a non-parametric test that is used to find out how the observed value of a given phenomena is significantly different from the expected value.

In Chi-Square goodness of fit test, the term goodness of fit is used to compare the observed sample distribution with the expected probability distribution.

Chi-Square goodness of fit test determines how well theoretical distribution (such as normal, binomial, or Poisson) fits the empirical distribution.

In Chi-Square goodness of fit test, sample data is divided into intervals. Then the numbers of points that fall into the interval are compared, with the expected numbers of points in each interval.

Statistics How To

【单样本】—【定制检验】-【比较实测概率和假设概率的（卡方检验）】

【旧对话框】-【卡方检验】

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H0：总体分布的均数为139.48，标准差为7.30的正态分布

H1：总体分布不是均数为139.48，标准差为7.30的正态分布

α=0.05

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SPSS实践1

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SPSS实践2

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1.方积乾.卫生统计学[M].第七版，北京:人民卫生出版社,2013.

2.http://www-01.ibm.com/support/

3.http://www.statisticshowto.com/goodness-of-fit-test/

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