
【Python】单样本、独立样本、配对样本的t检验 - CSDN博客
2023年1月26日 · 配对样本t检验 使用 ttest_rel () 函数。 单样本t检验用于,在已知总体均数的情况下,样本均数 𝑋 与已知总体均数 𝜇 0的比较,其中样本均数 𝑋 代表未知总体均数 𝜇。 样本含量较小 …
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ttest_rel — SciPy v1.15.2 Manual
scipy.stats. ttest_rel (a, b, axis = 0, nan_policy = 'propagate', alternative = 'two-sided', *, keepdims = False) [source] # Calculate the t-test on TWO RELATED samples of scores, a and b. This is …
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Python SciPy stats.ttest_rel用法及代码示例 - 纯净天空
本文简要介绍 python 语言中 scipy.stats.ttest_rel 的用法。 在两个相关的分数样本 a 和 b 上计算 t-test。 这是对两个相关或重复样本具有相同平均 (预期)值的零假设的检验。 数组必须具有相同 …
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ttest_rel — SciPy v1.15.0 手册 - SciPy 科学计算库
scipy.stats. ttest_rel (a, b, axis = 0, nan_policy = 'propagate', alternative = 'two-sided', *, keepdims = False) [源代码] # 计算两个相关样本(a 和 b)得分的 t 检验。 这是一个用于检验两个相关或 …
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scipy.stats.ttest_rel — SciPy v1.8.0 Manual
scipy.stats. ttest_rel (a, b, axis = 0, nan_policy = 'propagate', alternative = 'two-sided') [source] # Calculate the t-test on TWO RELATED samples of scores, a and b. This is a test for the null …