Answer:
The boxplots are on the figure attached. And the explanation is below. 
Step-by-step explanation:
For the first formulation we have the following dataset:
 1.76, 1.84, 2.71, 2.26, 3.15, 3.21, 2.48, 1.87
We can construct a box plot with the following R code:
> x1<-c( 1.76, 1.84, 2.71, 2.26, 3.15, 3.21, 2.48, 1.87)
> boxplot(x1,main="Boxplot method 1")
For the scond formulation we have the following data:
1.75, 2.08, 3.17, 3.21, 2.74, 2.83, 3.47, 2.47, 1.98
And the boxplot can be constructed with the following R code:
> x2<-c(1.75, 2.08, 3.17, 3.21, 2.74, 2.83, 3.47, 2.47, 1.98)
> boxplot(x2,main="Boxplot method 2")
And we can get the comparative 5 number results for each case:
> summary(x1)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.  
  1.760   1.863   2.370   2.410   2.820   3.210  
> summary(x2)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.  
  1.750   2.080   2.740   2.633   3.170   3.470 
As we can see both histograms shows asymmetrical distributions. For the first method Mean>Median so then we can conclude that the distribution would be approximately skewed to the right. For the second case the Median>Mean so we can conclude that the distribution would be approximately skwewed to the left.