What does the likelihood in Bayes' theorem represent?
- The posterior probability of the event
- The prior probability of the event
- The probability of the event given the evidence
- The probability of the evidence given the event
The likelihood in Bayes' theorem represents the probability of the evidence given the event. It quantifies the extent to which the evidence supports the event.
Loading...
Related Quiz
- How can the effects of interaction be investigated in a two-way ANOVA?
- What type of correlation does the Spearman's Rank Correlation test measure?
- Why might the confidence interval for a proportion be skewed?
- How does skewness affect the mean and median of a dataset?
- If the p-value in a Chi-square test is less than the significance level, we ________ the null hypothesis.