Question

Choose the correct answer below.
A. The level of​ significance, ​, is the probability of committing a Type I​ error, rejecting the null hypothesis when it​ is, in​ fact, true.
B. The level of​ significance, ​, is the probability of committing a Type I​ error, rejecting the null hypothesis when it​ is, in​ fact, true.
C. The level of​ significance, ​, is the probability of committing a Type II​ error, not rejecting the null hypothesis when it​ is, in​ fact, false.
D. The level of​ significance, ​, is the probability of committing a Type II​ error, rejecting the null hypothesis when it​ is, in​ fact, true.
E. The level of​ significance, ​, is the probability of committing a Type II​ error, rejecting the null hypothesis when it​ is, in​ fact, true.
F. The level of​ significance, ​, is the probability of committing a Type I​ error, not rejecting the null hypothesis when it​ is, in​ fact, false.

Answer 1

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.