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Do you reject if it is not significant?
When your p-value is greater than your significance level, you fail to reject the null hypothesis. Your results are not significant. You’ll learn more about interpreting this outcome later in this post.
What does a non-significant result mean?
Null or “statistically non-significant” results tend to convey uncertainty, despite having the potential to be equally informative. When the probability does not meet that condition, the program result is null, i.e. there is no statistically significant difference between the treatment and control groups.
Why do statisticians say a non significant result means?
Because a continuous variable (such as a mean difference) can take on a value which is indefinitely close to the null value but still not quite equal and thus make the null hypothesis false, a traditional point null hypothesis cannot be proven. Imagine your null hypothesis is 0, and the mean difference you observe is 0.01.
Can a statistically significant result prove the null hypothesis?
This means we retain the null hypothesis and reject the alternative hypothesis. You should note that you cannot accept the null hypothesis, we can only reject the null or fail to reject it. A statistically significant result cannot prove that a research hypothesis is correct (as this implies 100% certainty).
What does a non-significant result in psychology mean?
But her non-significant result means that her results are not definitively in support of her theory. The main thing that a non-significant result tells us is that we cannot infer anything from this particular study.
Which is the opposite of a statistical significance?
The opposite of significant is “nonsignificant”, not “insignficant”. A lower p -value is sometimes interpreted as meaning there is a stronger relationship between two variables. However, statistical significance means that it is unlikely that the null hypothesis is true (less than 5%).