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Can you have a strong correlation that is not significant?
Yes, you are correct. As others mentioned the significance is sensitive the sample size. There may be a very weak correlation on a very large file, which will end up shown to be statistically significant.
Does low p-value mean strong correlation?
The p-value only tells you the probability of your correlation being random. In this case when you have a large sample size, the probability to reject the null hypothesis is greater, then the result is that you have a significant p-value with a very low correlation coefficient.
Why is my correlation not significant?
If the test shows that the population correlation coefficient ρ is close to zero, then we say there is insufficient statistical evidence that the correlation between the two variables is significant, i.e., the correlation occurred on account of chance coincidence in the sample and it’s not present in the entire …
What does a high p-value mean in correlation?
If the P-value is bigger than the significance level (α =0.05), we fail to reject the null hypothesis. We conclude that the correlation is not statically significant. Or in other words “we conclude that there is not a significant linear correlation between x and y in the population”
Is the p-value of a correlation significant?
You want your p-value to be as low as possible for your value to be significant. If your p-value is above your significant level (usually 1% or 5%) then your correlation is not significant. If you want to know more about the theory behind p-values, here is an easy explanation: https://www.medcalc.org/manual/correlation.php
What does low p value and low are value mean?
So the $r$ value is not that impressive (usually we see $r>.5$), but the $p$-value is still significant. Usually I would think a low $r$ value would mean high $p$-value (no significant correlation), or vice versa (low $p$-value would mean a high $r$ value).
When to accept the null hypothesis or p-value?
If the obtained p-value is higher than that standard, we conclude that the p-value is too high or our results are insignificant and we should accept the null hypothesis. This standard or checkpoint that we set is called LEVEL OF SIGNIFICANCE. It is upon us as a statistical investigator to choose our level of significance.
What is the p-value of a network?
These values are the weights of a network and some features of the nodes of the same network. I often get good correlations (sometimes > 0.6), but I always get an incredibly low p-value, usually between 1.0664e-48 and 9.6488e-181. So it’s basically a 0, and this rings a few alarms in my mind, but I can’t find an explanation. How is that possible?