Which of the Following Is the Correct Test Statistic for a Likelihood

Which of the following is the correct test statistic for a likelihood ratio test?

A) $G=\ln \left(L\left[\text { parameter value for } H_{0} \mid \text { data }\right]\right) -\ln (L[\text { max.likelihood value for parameter } \mid \text { data }])$
B) $G=2 \ln \left(L\left[\text { parameter value for } H_{0} \mid \text { data }\right]\right) -2 \ln (L[\text { max.likelihood value for parameter } \mid \text { data }])$
C) $G=\ln (L[\text { max.likelihood value for parameter } \mid \text { data }]) -\ln \left(L\left[\text { parameter value for } H_{0} \mid \text { data }\right]\right)$
D) $G=2 \ln (L[\text { max.likelihood value for parameter } \mid \text { data }]) -2 \ln \left(L\left[\text { parameter value for } H_{0} \mid \text { data }\right]\right)$