A two-tailed hypothesis test has 2 critical numbers.
A two-tailed hypothesis test has a critical value for the upper tail and a critical value for the lower tail. These critical values represent the points beyond which the test statistic is considered extreme enough to reject the null hypothesis.
In a two-tailed hypothesis test, the null hypothesis states that there is no significant difference or relationship between the variables being tested. The alternative hypothesis, on the other hand, suggests that there is a significant difference or relationship.
To perform a two-tailed hypothesis test, the researcher calculates the test statistic using the data and compares it to the critical values. If the test statistic falls outside the critical values, meaning it is more extreme, then the null hypothesis is rejected in favor of the alternative hypothesis.