假设检验的基本逻辑
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| 假设检验的基本逻辑 [2024/03/18 07:47] – [假设检验] fairytaleee | 假设检验的基本逻辑 [2024/03/19 02:32] (当前版本) – 李佳熠2 | ||
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| * Significance level (α): During the test, we assume that the null hypothesis is true, and the difference we observed is entirely due to random error, which is called the observed probability p. If p ≤α, the null hypothesis is rejected, and if p is >α, the null hypothesis cannot be rejected. | * Significance level (α): During the test, we assume that the null hypothesis is true, and the difference we observed is entirely due to random error, which is called the observed probability p. If p ≤α, the null hypothesis is rejected, and if p is >α, the null hypothesis cannot be rejected. | ||
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| - | ===== 假设检验的基本逻辑 | + | ===== 假设检验的基本逻辑（The basic logics of hypothesis testing） |
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| - | - 收集数据，计算样本统计量 | + | 2.设定决策标准：找出z分数界定的临界区域 |
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| + | 3.收集数据，计算样本统计量 | ||
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| + | 4.做出决策：如果得出的z分数落在拒绝区域中，就拒绝H0 | ||
| + | Decide: If the z-score falls in the reject area, reject H0. | ||
假设检验的基本逻辑.1710748025.txt.gz · 最后更改: 2024/03/18 07:47 由 fairytaleee