The p-value of the test is 1.0410^{-9}, which is less than the significance level alpha = 0.05. We can then reject null hypothesis and conclude that the average weight of the mice before treatment is significantly different from the average weight after treatment with ap-va...
t.test(weight ~ group, data = my_data, paired = TRUE, alternative = "greater") Interpretation of the result Thep-valueof the test is 6.210^{-9}, which is less than the significance level alpha = 0.05. We can then reject null hypothesis and conclude that the average weight of the mic...
InterpretationThere are two types of significance to consider when interpreting the results of a paired sample t-test, statistical significance and practical significance.Statistical SignificanceThe p-value determines the Statistical significance. The p-value gives the probability of observing the test ...
Interpretational IssuesThus far, we compared 3 pairs of exams using 3 t-tests. A shortcoming here is that all 3 tests use the same tiny student sample. This increases the risk that at least 1 test is statistically significant just by chance. There's 2 basic solutions for this:...
P-value was determined by paired t test Full size image Higher immune infiltration lymphocytes in metastatic lesions Based on a conserved pan-cancer microenvironment signature set (Additional file 3: Fig. S5E), both primary and metastatic tumor lesions were identified to have upregulated tumor ...
Step 5:Based on the the calculated t-statistic and if it falls in the rejection region or not, you determine whether you reject the null hypothesis or not Step 6:Use the conclusion of the t-test to give an interpretation in the context of the setting of the specific problem. ...
Interpretation Statistical significance is determined by looking at the p-value. The p-value gives the probability of observing the test results under the null hypothesis. The lower the p-value, the lower the probability of obtaining a result like the one that was observed if the null hypothesis...
Interpretation By looking at the ‘Significantly different? (P<0.05)’ output, a ‘Yes’ is given which essentially means that our results are significantly different from each other. The exact p value is given next to ‘P value’. In this case a p value of < 0.0001 indicates a very sig...
The existence of equivalent models affects, in important ways, the substantive interpretation of Thurstonian choice models. On the one hand, it creates interpretational prob- lems for Case III and Case V models. As can be seen in Equation 25, the latent utilities in ⌺*t are all ...
p-value < 0.05. log2 (foldchange), which were found to be normally distributed. From this distribution, the genes that were found to be 2 standard deviations away from the mean (mean ± 2SD) were considered as differentially expressed. The downstream annotation was performed using these ...