Final answer:
The shape of the sampling distribution of the sample mean is approximately normal.
Step-by-step explanation:
The shape of the sampling distribution of the sample mean, denoted as T, can be described as approximately normal. This is known as the Central Limit Theorem (CLT) in statistics. According to the CLT, the sampling distribution of the sample mean approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.
In this case, the distribution of individual guesses is strongly skewed to the right. However, since the sample size is relatively large (6 students in each sample), we can assume that the sampling distribution of the sample mean will be approximately normal.