Is a high p-value good or bad?

A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis. A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis. Always report the p-value so your readers can draw their own conclusions.

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”

What does a P value greater than 0.05 mean?

P > 0.05 is the probability that the null hypothesis is true. A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.

What does a low p value mean?

High P values: your data are likely with a true null. Low P values: your data are unlikely with a true null. A low P value suggests that your sample provides enough evidence that you can reject the null hypothesis for the entire population.

What is the difference between an alpha level and a p-value?

Alpha, the significance level, is the probability that you will make the mistake of rejecting the null hypothesis when in fact it is true. The p-value measures the probability of getting a more extreme value than the one you got from the experiment. If the p-value is greater than alpha, you accept the null hypothesis.

What is an acceptable p value?

Biologists have settled on an acceptable threshold of p = 0.05. In human speak, if the chance of getting our test statistic (if the null hypothesis were true) is less than 5% we feel satisfied in rejecting it and concluding that the alternative hypothesis is true.

What does the p value tell you?

A p-value tells you the probability of having a result that is equal to or greater than the result you achieved under your specific hypothesis. It is a probability and, as a probability, it ranges from 0-1.0 and cannot exceed one. A p-value higher than one would mean a probability greater than 100% and this can’t occur.