Answer:
8.5
Step-by-step explanation:
Bayes factor is the ratio of the likelihood of one particular hypothesis against the likelihood of the another hypothesis. Bayes factor can be interpreted as a measure of strength of evidence in favor of one theory among two competing theories.
Bayes Factor is defined as below:
[tex]\frac{likelihood of data given H1}{likelihood of data given H0}[/tex]
H1 = alternative hypothesis
H0 = null hypothesis
Bayes Factor = 0.85/0.1 = 8.5