Answer :
The shape of the distribution of the sample usually contains the given two points :
1. The sampling distribution is skewed for small sample sizes. Also, the distribution will be non-normal if the sample size is small
2. The shape of the sampling distribution gets more and more normal-like (bell shaped) as the sample size increases
For sample size, n = 2
The sampling distribution will be skewed for this sample size
For sample size, n = 70
The shape of the sampling distribution for sample size of 70 will be more normal as compared to that of sample size of 2
