Asked by Cassidy Hoeckendorf on May 17, 2024
Verified
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.
Verified Answer
GC
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.
Learning Objectives
- Understand the difference between one-tailed and two-tailed hypothesis tests.