Asked by Lesley Horcasitas on Jul 08, 2024

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In a one-tailed test, the p-value is found to be equal to 0.036. If the test had been two-tailed, the p-value would have been 0.072.

One-Tailed Test

A hypothesis test in which the region of rejection is only on one side of the sampling distribution, used when a research hypothesis predicts a direction of the effect.

P-Value

The p-value measures the evidence against the null hypothesis, indicating the probability of observing the test results under the null hypothesis.

Two-Tailed

Pertains to a type of hypothesis test where the area of interest is in both tails of the distribution, indicating that deviations from the null hypothesis in either direction are considered.

  • Identify how p-values are used in hypothesis decision making.
  • Understand the considerations for choosing between one-tailed and two-tailed tests.
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Noelle MarinezJul 08, 2024
Final Answer :
True
Explanation :
In a two-tailed test, the p-value is typically double the p-value in a one-tailed test. Therefore, if the one-tailed test had a p-value of 0.036, the corresponding two-tailed test would have a p-value of 0.072.