Final answer:
A two-sided or two-tailed hypothesis test is one in which the null hypothesis includes values in either direction from a specific standard and the alternative hypothesis includes values in either direction from a specific standard.
Step-by-step explanation:
A two-sided or two-tailed hypothesis test is one in which the null hypothesis includes values in either direction from a specific standard and the alternative hypothesis includes values in either direction from a specific standard.
This means that both tails of the distribution are considered when determining the p-value and making a decision. A two-sided or two-tailed hypothesis test is one in which the null hypothesis includes values in either direction from a specific standard and the alternative hypothesis includes values in either direction from a specific standard.