Two samples are drawn from different populations with different means. You perform a test to see if their means are equal and did not find a significant enough p-value, so you do not reject the null hypothesis that they are the same. What type of conclusion is this?
A. A type I error
B. A type II error
C. A true positive (correct conclusion)
D. A true negative (correct conclusion)
2. What is the MAIN reason we take a log transform of the likelihood function while deriving a maximum likelihood estimator?
A. It helps linearizes an exponential relationship
B. It usually simplifies the math
C. It allows better interpretation of probabilities as log odds
D. It improves normality of the data by decreasing strong skewness from long tails
E. Because logs are super cool and we feel like it