TRUE or FALSE
The level of significance is the probability that a true hypothesis is rejected.
A Type one error is also referred to as an alpha risk.
For a one-tailed test of Hypothesis, the area of rejection is only in one tail of the test.
The level of significance is selected after setting up a decision rule.
To set up a decision rule, the sampling distribution is divided into two regions – a region of non-rejection and a region where the null hypothesis is rejected.
There is no one level of significance that is applied to all studies involving sampling.