Degrees of freedom follow the denominator

Let $X_{1}, \dots, X_{12}$ be a random sample from the N(2, 4) distribution and $Y_{1}, \dots, Y_{15}$ be a random sample from the N(−2, 5) distribution, where $N(\mu, \sigma^{2})$ denotes a normal distribution with mean $\mu$ and variance $\sigma^{2}$. Assume that the two random samples are mutually independent. Let ${\bar{X}} = (1/12)\sum_{i}$₌$_{1}^{12}X_{i}, S_{1}^{2} = (1/11)\sum_{i}$₌$_{1}^{12}(X_{i} - {\bar{X}})^{2}$, Ȳ $= (1/15)\sum_{j}$₌$_{1}^{15}Y_{j}, S_{2}^{2} = (1/14)\sum_{j}$₌$_{1}^{15}(Y_{j} -$ Ȳ$)^{2}$. Which of the following statements are true?