The term "statistically significant" simply means that the probability of an event isn't due to a chance and you can feel confident that’s it real, not that you just got lucky. So, when the next time you hear someone saying that a result is statistically significant, you can be "almost" sure that thRead more

The term “statistically significant” simply means that the probability of an event isn’t due to a chance and you can feel confident that’s it real, not that you just got lucky. So, when the next time you hear someone saying that a result is statistically significant, you can be “almost” sure that the results that they observed are reliable. Notice that I have quoted the word ‘almost’ in the previous statement, that’s because statistical significance is based on several parameters:

The confidence level

Your sample size

Lastly, the statistical significance of the results of an experiment is often calculated with hypothesis testing, which tests the validity of a hypothesis by figuring out the probability that your results have happened by chance.

## Statistical significant difference

## Prasad Valse

The term "statistically significant" simply means that the probability of an event isn't due to a chance and you can feel confident that’s it real, not that you just got lucky. So, when the next time you hear someone saying that a result is statistically significant, you can be "almost" sure that thRead more

The term “statistically significant” simply means that the probability of an event isn’t due to a chance and you can feel confident that’s it real, not that you just got lucky. So, when the next time you hear someone saying that a result is statistically significant, you can be “almost” sure that the results that they observed are reliable. Notice that I have quoted the word ‘almost’ in the previous statement, that’s because statistical significance is based on several parameters:

The confidence levelYour sample sizeLastly, the statistical significance of the results of an experiment is often calculated with hypothesis testing, which tests the validity of a hypothesis by figuring out the probability that your results have happened by chance.

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