Which of the following becomes 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 threshold at which we determine whether or not we can reject the null hypothesis and support the alternative hypothesis. If the p-value (the probability of obtaining the observed results by chance) is less than the significance level, typically set at 0.05 or 0.01, then we reject the null hypothesis and support the alternative hypothesis. Therefore, the significance level becomes the key indicator of whether or not a hypothesis can be supported. A critical value is a value beyond which we reject the null hypothesis, but we determine the critical value based on the significance level. Chi-square and degrees of freedom are related to hypothesis testing but are not key indicators for supporting a hypothesis.

Which of the Following Becomes Key Indicator of Whether or Not