Which of the following is the key indicator of whether or not a hypothesis can be supported?
A) critical value
B) significance level
C) chi-square
D) degrees of freedom

Question

Quizplus · Accepted Answer

The significance level is the key indicator of whether or not a hypothesis can be supported. It represents the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true. If the significance level is low (usually set at 0.05 or lower), it indicates that the observed result is unlikely to have occurred by chance, and therefore supports the alternative hypothesis. Critical value, chi-square, and degrees of freedom are all important components of hypothesis testing, but they are not the key indicator of whether or not a hypothesis can be supported.

Which of the Following Is the Key Indicator of Whether