假设检验 - 翻译成英语

• hypothesis testing
• a hypothesis test

在 中文 中使用 假设检验 的示例及其翻译为 英语

当我们在统计中进行假设检验时，p值有助于我们确定结果的显著性。
When a hypothesis test in statistics is performed, p value helps you determine the significance of your results.

假设1（H1）：假设检验不成立，并在一定程度上驳回。
Hypothesis 1(H1): Assumption of the test does not hold and is rejected at some level of significance.

统计能力分析:传统和现代假设检验的简单和通用模型，第三版(第2版).
Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests(2nd ed.).

有很多假设检验已经被开发来测试线性回归模型对各种假设的稳健性。
There are numerous hypothesis tests that have been developed to test the robustness of a linear regression model against various assumptions that are made.

这是科学中最肮脏的秘密：使用统计假设检验的“科学方法”建立在一个脆弱的基础之上。
Science's dirtiest secret: The“scientific method” of testing hypotheses by statistical analysis stands on a flimsy foundation.'.

对给定数据集设计假设检验，并为检验选择适当的阈值.
Design hypothesis tests for a given set of data and select the appropriate thresholds for the tests..

第9章假设检验的引言部分现在以贝叶斯公式作为开端，然后再转向奈曼{皮尔逊范式。
The introductory section on hypothesis testing in Chapter 9 now begins with a Bayesian formulation before moving on to the Neyman-Pearson paradigm.

每个假设检验都要求分析者陈述一个零假设和另一个假设。
Every hypothesis test requires the analyst to state a null hypothesis and an alternative hypothesis..

使用一般线性模型的假设检验可以通过两种方式进行：多变量或多个独立的单变量检验。
Hypothesis tests with the general linear model can be made in two ways: multivariate or as several independent univariate tests..

帕累托图，箱线图，假设检验，控制图和能力分析是常见的景点。
Pareto charts, boxplots, hypothesis tests, control charts, and capability analyses are common sights.

统计假设检验和估计统计可以帮助进行模型选择，并展示最终模型的技能和预测结果。
That statistical hypothesis tests and estimation statistics can aid in model selection and in presenting the skill and predictions from final models.

假设检验是统计学中的一种行为，分析师测试关于人口参数的假设。
A hypothesis is a statistical procedure where an analyst tests an assumption on the population parameters.

一个常见的误解是统计假设检验被设计为选择两个假设的可能性更大。
A common misconception is that statistical hypothesis tests are designed to select the more likely of two hypotheses..

这是科学中最肮脏的秘密：使用统计假设检验的“科学方法”建立在一个脆弱的基础之上。
It's science's dirtiest secret: The"scientific method" of testing hypotheses by statistical analysis stands on a flimsy foundation.

对于这类假设检验，我们可以得到出现假阳性的精确概率，这个概率就是α值。
For this kind of hypothesis testing, we can compute the probability of a false positive explicitly: it turns out to be α.

统计假设检验报告了假设观察结果的可能性，例如，变量之间没有关联或集合之间没有差异。
Statistical hypothesis tests report on the likelihood of the observed results given an assumption, such as no association between variables or no difference between groups.

无论显著性水平如何，假设检验的结果仍可能包含错误。
Regardless of the significance level, the finding of hypothesis tests may still contain errors.

这是我上面提到的p值，我将用它来评估假设检验。
This is the p-value I mentioned above that I will be using to evaluate the hypothesis test.

分析人员必须对数据进行组织，以和模型保持一致，以便计算机可以为假设检验创建预测和输出。
Analysts must organize data to align with a model so computers can create forecasts and outputs for hypothesis tests.

在这些研究中，常常同时检测数以万计甚至百万假设检验。
In these studies, it is often required to test thousands and even millions of hypotheses simultaneously.