If Emily is more likely to attend class than to miss class, it indicates that the probability of her attending class is greater than 0.5. Consequently, the probability of her missing class must be less than 0.5.
Let's denote the probability that Emily misses class as \( P(\text{miss}) \) and the probability that she attends class as \( P(\text{attend}) \). Since these two probabilities must sum up to 1, we have:
\[ P(\text{attend}) + P(\text{miss}) = 1 \]
Given that \( P(\text{attend}) > 0.5 \), it follows that:
\[ P(\text{miss}) < 0.5 \]
Thus, any probability for her missing class could reasonably be any value between 0 and less than 0.5. For example, if we assume she has a 30% chance of missing class, it could be expressed as:
\[ P(\text{miss}) = 0.3 \]
In summary, without additional information, the probability that Emily misses class tomorrow could be any value in the range:
\[ 0 \leq P(\text{miss}) < 0.5 \]