Questions: Researchers use a level of statistical significance relating to levels of probability in scientific research.

Researchers use a $\square$ level of statistical significance relating to levels of probability in scientific research.

Understanding the concept of statistical significance

Statistical significance is a measure used in hypothesis testing to determine whether the results of a study are likely due to chance or to a specific factor. It is typically expressed as a p-value, which represents the probability of observing the results if the null hypothesis is true.

Common levels of statistical significance

In scientific research, the most commonly used levels of statistical significance are \( p < 0.05 \), \( p < 0.01 \), and \( p < 0.001 \). These correspond to 5%, 1%, and 0.1% probabilities, respectively, of the results occurring by chance.

Filling in the blank

The blank in the question refers to the threshold or level of statistical significance. The most widely accepted level is \( p < 0.05 \), which is often referred to as the "5% level of significance."

\\(\boxed{p < 0.05}\\)

\\(\boxed{p < 0.05}\\)