Statistical significance is a concept that is used in statistical hypothesis testing to determine whether a result is likely due to chance or to some factor of interest. It is a determination that the results in the data are not explainable by chance alone. In other words, a result is statistically significant when a result at least as "extreme" would be very infrequent if the null hypothesis were true. This is typically assessed using a p-value, with a p-value of 5% or lower often considered to be statistically significant. It's important to note that statistical significance does not imply importance, and it is not the same as research significance, theoretical significance, or practical significance