The statistical theories of hypothesis tests and the quality control limit of multivariate have been used to study the discriminance for drink quality stability.
同时,运用假设检验、多元质量控制界等统计理论研究了质量稳定性的判别方法。
单词 | Hypothesis test |
释义 |
Hypothesis test
英语例句库
The statistical theories of hypothesis tests and the quality control limit of multivariate have been used to study the discriminance for drink quality stability. 同时,运用假设检验、多元质量控制界等统计理论研究了质量稳定性的判别方法。
原声例句
可汗学院:统计学(视频版) And in this test, like every hypothesis test, we need a significance level. 在这个测试中,就像每个假设测试一样,我们需要一个显着性水平。 社会学 Crash Course Deductive logical thought, meanwhile, uses an existing theory to inform the hypothesis you test. 同时,演绎逻辑思维使用现有理论来为您检验的假设提供信息。 可汗学院:统计学(视频版) So like we do with all of our hypothesis tests, let's just assume the null. 因此,就像我们对所有假设检验所做的那样,让我们假设为零。 可汗学院:统计学(视频版) So let's do a little hypothesis test here. 因此,让我们在这里做一些假设检验。 可汗学院:统计学(视频版) Now, to do any type of hypothesis test, we have to decide on a level of significance. 现在,要进行任何类型的假设检验,我们必须确定显着性水平。 可汗学院:统计学(视频版) So to do our hypothesis test, let's just establish our null hypothesis and our alternative hypothesis. 因此,为了进行我们的假设检验,让我们建立零假设和备择假设。 可汗学院:统计学(视频版) Or just do a straight up hypothesis test to see is there a difference? 或者只是直接进行假设检验以查看是否存在差异? 可汗学院:统计学(视频版) So let's say the significance level that we care about, for our hypothesis test, is 10%. 因此,对于我们的假设检验,假设我们关心的显着性水平是 10%。 可汗学院:统计学(视频版) And we're going to do the hypothesis test with a significance level of 5%. 我们将以 5% 的显着性水平进行假设检验。 可汗学院:统计学(视频版) In the next video, we'll actually do a hypothesis test using this same data. 在下一个视频中,我们实际上将使用相同的数据进行假设检验。 可汗学院:统计学(视频版) Now, one thing I forgot to mention, with any hypothesis test, we're going to need some type of significance level. 现在,我忘了提一件事,对于任何假设检验,我们都需要某种显着性水平。 可汗学院:统计学(视频版) So if we look at it-- let me just re-draw it with our new hypothesis test. 因此,如果我们看一下——让我用我们的新假设检验重新绘制它。 可汗学院:统计学(视频版) You could have done a similar type of hypothesis test with the same experiment where you only had a one-tailed test. 您可以在同一实验中进行类似类型的假设检验,而您只进行了单尾检验。 可汗学院:统计学(视频版) So to figure out whether I want to accept or reject his hypothesis right here, I'm going to do a little bit of a hypothesis test. 所以为了弄清楚我是想在这里接受还是拒绝他的假设,我将做一些假设检验。 可汗学院:统计学(视频版) In this video, I actually want to do a hypothesis test, really to test if this data makes us believe that the low-fat diet actually does anything at all. 在这段视频中, 我实际上想做一个假设检验,真正检验这些数据是否让我们相信低脂饮食真的有任何作用。 PBS地球-动物趣闻 When we produce thin section slides, We are choosing specimens based on a question that we're asking or a hypothesis that we're testing And the next bone on the chopping block is going to maybe fill in a piece of the puzzle. 当我们制作薄切片幻灯片时,我们是根据我们提出的问题或我们正在测试的假设来选择样本, 而砧板上的下一块骨头可能会填补一块拼图。
中文百科
假设检定 Statistical hypothesis testing(重定向自Hypothesis test)
假设检定是推论统计中用于检验统计假设的一种方法。而“统计假设”是可通过观察一组随机变量的模型进行检验的科学假说。一旦能估计未知参数,就会希望根据结果对未知的真正参数值做出适当的推论。 统计上对参数的假设,就是对一个或多个参数的论述。而其中欲检验其正确性的为零假设(null hypothesis),零假设通常由研究者决定,反应研究者对未知参数的看法。相对于零假设的其他有关参数之论述是对立假设(alternative hypothesis),它通常反应了运行检定的研究者对参数可能数值的另一种(对立的)看法(换句话说,对立假设通常才是研究者最想知道的)。
英语百科
Statistical hypothesis testing 假设检定(重定向自Hypothesis test)
![]() A statistical hypothesis is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables. A statistical hypothesis test is a method of statistical inference. Commonly, two statistical data sets are compared, or a data set obtained by sampling is compared against a synthetic data set from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis that proposes no relationship between two data sets. The comparison is deemed statistically significant if the relationship between the data sets would be an unlikely realization of the null hypothesis according to a threshold probability—the significance level. Hypothesis tests are used in determining what outcomes of a study would lead to a rejection of the null hypothesis for a pre-specified level of significance. The process of distinguishing between the null hypothesis and the alternative hypothesis is aided by identifying two conceptual types of errors (type 1 & type 2), and by specifying parametric limits on e.g. how much type 1 error will be permitted. |
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