R函数var.test()可用于比较两个方差,如下所示: # 方法1 var.test(values ~ groups, data, alternative = "two.sided") # 方法2 var.test(x, y, alternative = "two.sided") x,y:数值向量 alternative:备择假设。允许值为“two.sided”(默认),“greater”或“less”之一。 4.2将数据导入R中 在这里,...
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Statistical Table T-test F-test 的表格 Appendix2 Tables of statistical distributions Table A2.1Normal critical values for different values ofα α0.40.250.20.150.10.050.0250.010.0050.001 Zα.2533.6745.84161.03641.28161.64491.96002.32632.57583.0902 Source:Biometrika Tables for ...
1 # 导入第三方模块 2 import pandas as pd 3 import numpy as np 4 import matplotlib.pyplot as plt 5 6 # 自定义绘制ks曲线的函数 7 def plot_ks(y_test, y_score, positive_flag): 8 # 对y_test重新设置索引 9 y_test.index = np.arange(len(y_test)) 10 # 构建目标数据集 11 target_da...
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方法1:用statsmodels.stats.proportion里面的proportions_ztest函数计算(推荐) 方法2 用手动方式计算 一个总体方差的假设检验(指定方差和样本方差) 两个总体的假设检验 两总体均值之差的假设检验(独立样本) 两总体均值之差的假设检验(配对样本) 两总体比例之差的假设检验 两总体方差之比的假设检验 6. 方差分析 单因...
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StatisticalTableT-testF-test表格 系统标签: statisticaltabletest表格biometrikastatisticians Appendix2 Tablesofstatisticaldistributions TableA2.1Normalcriticalvaluesfordifferentvaluesofα α0.40.250.20.150.10.050.0250.010.0050.001 Z α .2533.6745.84161.03641.28161.64491.96002.32632.57583.0902 Source:BiometrikaTablesforStat...
The RevNameTabid MUST NOT have a name.st equal to one of the values in the following table. If the formula containing this structure is not part of a revision as specified in the Formulas overview (section 2.2.2), the fFutureFunction field of the BrtName (section 2.4.711) record MUST...
Returns the inverse of the (right-tailed) F probability distribution. If p = F.DIST.RT(x,...), then F.INV.RT(p,...) = x. The F distribution can be used in an F-test that compares the degree of variability in two data sets. For example, you can analyze in