Is P value of 0.03 Significant?
So, you might get a p-value such as 0.03 (i.e., p = .
This means that there is a 3% chance of finding a difference as large as (or larger than) the one in your study given that the null hypothesis is true.
03, we would reject the null hypothesis and accept the alternative hypothesis..
Is P value of 0.01 Significant?
In summary, due to the conveniently available exact p values provided by modern statistical data analysis software, there is a wave of p value abuse in scientific inquiry by considering a p < 0.05 or 0.01 result as automatically being significant findings and that a smaller p value represents a more significant impact.
Is P 0.04 statistically significant?
The Chi-square test that you apply yields a P value of 0.04, a value that is less than 0.05. … The interpretation is wrong because a P value, even one that is statistically significant, does not determine truth.
What does P value of 0.9 mean?
If P(real) = 0.9, there is only a 10% chance that the null hypothesis is true at the outset. Consequently, the probability of rejecting a true null at the conclusion of the test must be less than 10%. … It shows that the decrease from the initial probability to the final probability of a true null depends on the P value.
Is P value of 0.05 Significant?
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 P value of 0.02 mean?
In hypothesis testing, when your p-value is less than the alpha level you selected (typically 0.05), you’d reject the null hypothesis in favor of the alternative hypothesis. … If we get a p-value of 0.02 and we’re using 0.05 as our alpha level, we would reject the hypothesis that the population means are equal.