每个主题 before–after 在比较中使用成对的 t-检验内, 翻译结果4复制译文编辑译文朗读译文返回顶部 之前的每个主题内的比较后配对使用t-测试 翻译结果5复制译文编辑译文朗读译文返回顶部 每内附属在之前在比较以后使用被配对的t测试, 相关内容 athe differences between them are explained 他们之间的区别解释 [transla...
Like many statistical procedures, thepaired sample t-testhas two competing hypotheses, thenull hypothesisand thealternative hypothesis. The null hypothesis assumes that the true mean difference between the paired samples is zero. Under this model, all observable differences are explained by random variat...
As you will see from the next example, the analysis of paired samples is done by looking at the difference between the two measurements. As a result, this case uses the same techniques as for the one-sample case, although usually, it is easier to use either the paired t-test data analy...
The four PC1 for yolk androgen concentrations explained more than 69.9% of variance and the four PC1 for yolk androgen amounts explained more than 75.5% of variance, with the lowest values for the ratios. We looked at the effect of mate quality on different parameter...
The p-values are calculated using a two-sample one-sided student’s t-test in R. (H) Pearson correlation coefficients between miRNA and target gene expression (top panel), RNA-seq data (middle panel) and gene expression evaluated by RT-qPCR (lower panel) for the top four miRNA-target ...
Procedure. The participants entered the laboratory in pairs and sat on chairs in front of the experimental materials, and the experimenter explained the procedure. Participants practiced tapping to obtain appropriate intensity with a good signal-to-noise ratio prior to beginning the trials. During...
A paired-sample t test was used to compare PPF at both 50-msec and 100-msec ISIs. PPF measured at 5 min pre-LFS was compared with PPF measured at 30 min post-LFS. For the 50-msec lSI, a sig- nificant decrease in facilitation was found at 30 min post- LFS when compared with ...
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Prediction of T-cell receptor (TCR) interactions with MHC-peptide complexes remains highly challenging. This challenge is primarily due to three dominant factors: data accuracy, data scarceness, and problem complexity. Here, we showcase that “shallow”
Last week, I was on my way home from the CAST conference with my 17 year-old son Oliver when a client called me with an emergency assignment: “Get down to L.A. and test our product right away!” I didn’t have time to take Oliver home, so we bought some clean clothes, had Oli...