Asked by Cassidy Hoeckendorf on May 17, 2024

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Two approaches to drawing a conclusion in a hypothesis test are ​

A) ​p-value and critical value.
B) ​one-tailed and two-tailed.
C) ​Type I and Type II.
D) ​null and alternative.

Critical Value

A point on the scale of a statistical distribution that marks the boundary of an acceptance region for a test of hypothesis.

  • Understand the difference between one-tailed and two-tailed hypothesis tests.
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Gretta ClaretteMay 18, 2024
Final Answer :
A
Explanation :
The p-value and critical value are two commonly used approaches to drawing a conclusion in a hypothesis test. The p-value approach involves comparing the calculated p-value to a predetermined significance level, and rejecting the null hypothesis if the p-value is less than or equal to the significance level. The critical value approach involves comparing the calculated test statistic to a critical value obtained from a table or using a statistical software package, and rejecting the null hypothesis if the test statistic exceeds the critical value. Both of these approaches can be used to draw a conclusion in a hypothesis test, depending on the specific situation and the preferences of the researcher.