Python 中的 Levene 测试
Levene Test in Python
下面给出了具有重叠 95% 置信区间的三个实验的结果。任务是确认所有三个实验的结果是否没有显着差异。 假设下面的 3 个样本是随机的、独立的、参数化的和正态分布的
`Experiment1 = np.array([1.595440,1.419730,0.000000,0.000000])`
`Experiment2 = np.array([1.433800,2.079700,0.892139,2.384740])`
`Experiment3 = np.array([0.036930,0.938018,0.995956,1.006970])`
我需要帮助对数据执行 Levene 测试。协助会有很大帮助。
希望我没看错,默认中心是中位数,你也可以用mean:
from scipy.stats import levene
import numpy as np
Experiment1 = np.array([1.595440,1.419730,0.000000,0.000000])
Experiment2 = np.array([1.433800,2.079700,0.892139,2.384740])
Experiment3 = np.array([0.036930,0.938018,0.995956,1.006970])
levene(Experiment1 ,Experiment2,Experiment3)
LeveneResult(statistic=2.6741725711150446, pvalue=0.12259792666001798)
下面给出了具有重叠 95% 置信区间的三个实验的结果。任务是确认所有三个实验的结果是否没有显着差异。 假设下面的 3 个样本是随机的、独立的、参数化的和正态分布的
`Experiment1 = np.array([1.595440,1.419730,0.000000,0.000000])`
`Experiment2 = np.array([1.433800,2.079700,0.892139,2.384740])`
`Experiment3 = np.array([0.036930,0.938018,0.995956,1.006970])`
我需要帮助对数据执行 Levene 测试。协助会有很大帮助。
希望我没看错,默认中心是中位数,你也可以用mean:
from scipy.stats import levene
import numpy as np
Experiment1 = np.array([1.595440,1.419730,0.000000,0.000000])
Experiment2 = np.array([1.433800,2.079700,0.892139,2.384740])
Experiment3 = np.array([0.036930,0.938018,0.995956,1.006970])
levene(Experiment1 ,Experiment2,Experiment3)
LeveneResult(statistic=2.6741725711150446, pvalue=0.12259792666001798)