You study whether childhood adversity has an impact of stress levels as an adult. given your data, the probability of the data given the null hypothesis is 0.1, and the probability of the data given the alternative hypothesis is 0.85. the bayes factor

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:

H1 = alternative hypothesis

H0 = null hypothesis

Bayes Factor = 0.85/0.1 = 8.5

2 2/3 hours duhh silly

step-by-step explanation: