Using the Central Limit Theorem, it is found that the shape of the sampling distribution of the sample mean wingspan is normal.
It states that the sampling distribution of sample means of size n, from a normally distributed population with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], is normally distributed with mean [tex]\mu[/tex] and standard error [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].
Hence, applying the Central Limit Theorem in this problem, the shape of the sampling distribution of the sample mean wingspan is normal.
More can be learned about the Central Limit Theorem at https://brainly.com/question/24663213
