Answer: The level of significance, , is the probability of committing a Type I error, rejecting the null hypothesis when it is, in fact, true.
Step-by-step explanation:
The significance level, which is commonly designated as alpha (α) is defined the probability of rejecting the null hypothesis when it is in fact, true.
To determine statistical significance, a researcher is expected to calculate a p-value. The researcher can reject the null hypothesis if the p -value is less than α as established by the researcher.
