Data is normally distributed 翻译结果2复制译文编辑译文朗读译文返回顶部 The data accord with the normal distribution 翻译结果3复制译文编辑译文朗读译文返回顶部 Data complies with normal distribution 翻译结果4复制译文编辑译文朗读译文返回顶部 Data are consistent with normal distribution 翻译结果5复制译文编辑译文...
awang teacher good! Wang老师好! [translate] aThe results of a test of normal distribution showed that the data is normally distributed (Shapiro-Wilk = .983, p = .852) suggesting there is not a tendency to replicate particular readings. 正在翻译,请等待... [translate] ...
Checking that data is normally distributed using R检查数据通常使用r分布 Learn how to check whether your data have a normal distribution, using the chi-squared goodness-of-fit test using R. https://global.oup.com/academic/product/research-methods-for-the-
These assumptions include that the data is normally distributed and that the population variances are equal. 然而, F测试有在真实世界的应用程序时频繁地被忽略和经常被违犯,当使用的有些假定。 这些假定包括通常分布数据,并且总体方差是相等的。 [translate] ...
When the data is not normally distributed, which statistical analysis method is more appropriate? A. Parametric methods B. Non-parametric methods C. Linear regression D. T-test 相关知识点: 试题来源: 解析 B。当数据不服从正态分布时,非参数方法更合适。参数方法通常要求数据服从正态分布,线性回归和...
The log-normal distribution is identical to the normal distribution but includes an exponential function, assuming gene expression data is normally distributed on a log scale but not on a linear scale. To evaluate the performance of these probability distributions on gene expression variability, we ...
Mean imputation preserves the mean of the dataset with missing values, as can be seen in our example above. This, however, is only appropriate if we assume that our data is normally distributed where it is common to assume that most observations are around the mean anyway. It also is s...
One method of analyzing nonnormal data is to convert or transform the original measurements so that they are expressed on a new scale that is more likely to be normally distributed. When testing the difference between two groups and if previous data indicate nonnormality, then the data can ...
The scientific study of microbiology involves three aspects: (1) collecting the evidence, (2) processing the evidence, and (3) drawing a conclusion from the evidence. Statistical analysis is the most important stage of processing the evidence so that a sound conclusion can be drawn from the ...
and regression problems because the least frequently occurring values make up the majority of the population. This can ultimately change the way that you deal with outliers, and it also conflicts with some machine learning techniques with the assumption that the data is normally distributed....