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有关于卡方检验的结果?谁能帮我分析一下?Chi-Square TestsValue df Asymp.Sig.(2-si
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有关于卡方检验的结果?谁能帮我分析一下?
Chi-Square Tests
Value df Asymp.Sig.(2-sided)
Pearson Chi-Square 29.990(a) 5 .000
Likelihood Ratio 39.871 5 .000
N of Valid Cases 256
a 1 cells (8.3%) have expected count less than 5.The minimum expected count is 4.21.
卡方检验结果如上,本人统计基础差 没有办法解释上述检验结果
Value df Asymp.Sig.(2-sided)
Pearson Chi-Square 29.990(a) 5 .000
Likelihood Ratio 39.871 5 .000
N of Valid Cases 256
a 1 cells (8.3%) have expected count less than 5.The minimum expected count is 4.21
这个表格感觉比较清楚了
有关于卡方检验的结果?谁能帮我分析一下?
Chi-Square Tests
Value df Asymp.Sig.(2-sided)
Pearson Chi-Square 29.990(a) 5 .000
Likelihood Ratio 39.871 5 .000
N of Valid Cases 256
a 1 cells (8.3%) have expected count less than 5.The minimum expected count is 4.21.
卡方检验结果如上,本人统计基础差 没有办法解释上述检验结果
Value df Asymp.Sig.(2-sided)
Pearson Chi-Square 29.990(a) 5 .000
Likelihood Ratio 39.871 5 .000
N of Valid Cases 256
a 1 cells (8.3%) have expected count less than 5.The minimum expected count is 4.21
这个表格感觉比较清楚了
Chi-Square Tests
Value df Asymp.Sig.(2-sided)
Pearson Chi-Square 29.990(a) 5 .000
Likelihood Ratio 39.871 5 .000
N of Valid Cases 256
a 1 cells (8.3%) have expected count less than 5.The minimum expected count is 4.21.
卡方检验结果如上,本人统计基础差 没有办法解释上述检验结果
Value df Asymp.Sig.(2-sided)
Pearson Chi-Square 29.990(a) 5 .000
Likelihood Ratio 39.871 5 .000
N of Valid Cases 256
a 1 cells (8.3%) have expected count less than 5.The minimum expected count is 4.21
这个表格感觉比较清楚了
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