What do paired t-test values mean?
The paired t-test is a method used to test whether the mean difference between pairs of measurements is zero or not.
What does the p-value need to be to be significant?
If the p-value is 0.05 or lower, the result is trumpeted as significant, but if it is higher than 0.05, the result is non-significant and tends to be passed over in silence.
What does a negative T value mean in a paired t-test?
Find a t-value by dividing the difference between group means by the standard error of difference between the groups. A negative t-value indicates a reversal in the directionality of the effect, which has no bearing on the significance of the difference between groups.
What does a negative t-value mean in a paired t-test?
What is an acceptable p-value for t-test?
A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct (and the results are random). Therefore, we reject the null hypothesis, and accept the alternative hypothesis.
How do you interpret the p-value and t-value?
For each test, the t-value is a way to quantify the difference between the population means and the p-value is the probability of obtaining a t-value with an absolute value at least as large as the one we actually observed in the sample data if the null hypothesis is actually true.
How do you interpret the p-value and t statistic?
The larger the absolute value of the t-value, the smaller the p-value, and the greater the evidence against the null hypothesis.
What does p-value less than 0.05 mean?
1 minus the P value is the probability that the alternative 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.