Are my results statistically significant?

Are my results statistically significant?

The level at which one can accept whether an event is statistically significant is known as the significance level. Researchers use a test statistic known as the p-value to determine statistical significance: if the p-value falls below the significance level, then the result is statistically significant.

How do I know if my results are significant?

The smaller the p-value, the stronger the evidence that you should reject the null hypothesis.

1. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant.
2. A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis.

What do you mean by no significant difference?

This is the equivalent of finding a statistically significant difference (the bulb was off, then it turned on). It is the equivalent of failing to find a significant difference in research; just as we cannot conclude that the batteries are not good, we cannot conclude that there is no difference between the two groups.

What does it mean when a result is statistically significant?

Revised on February 11, 2021. If a result is statistically significant, that means it’s unlikely to be explained solely by chance or random factors. In other words, a statistically significant result has a very low chance of occurring if there were no true effect in a research study.

What happens when p value is higher than significance?

If the p value is higher than the significance level, the null hypothesis is not refuted, and the results are not statistically significant. If the p value is lower than the significance level, the results are interpreted as refuting the null hypothesis and reported as statistically significant.

What does it mean when scientists say their results are?

They are written by scientists, for scientists, and often in a language that seems to only vaguely resemble English. And perhaps one of the most daunting aspects of a scientific paper is the statistics (“stats”) section. But what do stats really mean in the real world?

Which is better, a higher or lower significance level?

Some research disciplines are stricter than others however, and the research design itself may warrant a more or less stringent threshold. In any case, the lower the significance level, the higher the confidence you can have in the result. What’s a Good Significance Level?