The critical probability of choosing between the null hypothesis and the alternative hypothesis is called the:
A) critical value.
B) significance level.
C) Chi-square test.
D) degrees of freedom.

Question

Quizplus · Accepted Answer

The critical probability of choosing between the null hypothesis and the alternative hypothesis is called the significance level. This is usually set at 0.05 or 0.01 in hypothesis testing, and it is the probability of rejecting a true null hypothesis (Type I error). The critical value is the value that separates the rejection region from the acceptance region in a distribution, and it is determined by the significance level and the degrees of freedom. The Chi-square test is a statistical test used to compare observed and expected values in a contingency table, and it requires the calculation of expected values based on the null hypothesis. The degrees of freedom refer to the number of independent observations in a sample that can vary, and they determine the shape of the distribution used in hypothesis testing.

The Critical Probability of Choosing Between the Null Hypothesis and the Alternative