Question

A one-tailed test is a a. hypothesis test in which rejection region is in one tail of the sampling distribution b. hypothesis test in which rejection region is in both tails of the sampling distribution c. hypothesis test in which rejection region is only in the lower tail of the sampling distribution d. hypothesis test in which rejection region is only in the upper tail of the sampling distribution

Answer 1

Answer:

Option A) One tailed test is a hypothesis test in which rejection region is in one tail of the sampling distribution

Step-by-step explanation:

One Tailed Test:

• A one tailed test is a test that have hypothesis of the form

$H_0: \bar{x} = \mu\\H_A: \bar{x} < \mu\text{ or } \bar{x} > \mu$

• A one-tailed test is a hypothesis test that help us to test whether the sample mean would be higher or lower than the population mean.
• Rejection region is the area for which the null hypothesis is rejected.
• If we perform right tailed hypothesis that is the upper tail hypothesis then the rejection region lies in the right tail after the critical value.

• If we perform left tailed hypothesis that is the lower tail hypothesis then the rejection region lies in the left tail after the critical value.

Thus, for one tailed test,

Option A) One tailed test is a hypothesis test in which rejection region is in one tail of the sampling distribution