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What is the difference between a one-tailed test and a two-tailed test? Multiple Choice In a...

What is the difference between a one-tailed test and a two-tailed test?

Multiple Choice

  • In a one-tailed test, the rejection region is in one of the tails, whereas in a two-tailed test the area of rejection is “split” between both tails of the distribution.

  • In a one-tailed test, the rejection region is always in the upper tail, whereas in a two-tailed test the area of rejection is “split” between both tails of the distribution.

  • In a one-tailed test, the p-value is always less than the significance level, whereas in a two-tailed test, the p-value is always more than the significance level.

  • In a one-tailed test the area of rejection is “split” between both tails of the distribution whereas with a two-tailed test the area of rejection is all in one of the tails of the distribution.

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Answer #1

The correct answer is (1), i.e., "In a one-tailed test, the rejection region is in one of the tails, whereas in a two-tailed test the area of rejection is “split” between both tails of the distribution."

In hypothesis testing, the alternative hypothesis with symbols like, determines that whether we are performing a one-tailed or two-tailed hypothesis. So, in One-tailed hypothesis, the rejection region is in one of the tails of the distribution while in two-tailed hypothesis, the rejection region is split in both the tails.

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