Answer:
Following are the responses to the given question:
Explanation:
For point a:
In R-Studio, we first insert the data set,
Please notice that perhaps the blue colored lines are input and the green lines are R-Studio results.

We will get the smallest observation, first, mid, third, and largest quartile for both classes and use a summary of 5 numbers,
![\to five\ num(Class\ 1) \\\\\[1\] \ 72.0 77.5 88.5 94.5 98.0 \\\\\to five\ num(Class\ 2) \\\\\[1\]\ 59 72 82 88 98](https://img.qammunity.org/2022/formulas/mathematics/college/n23s1a7iflj6pygpfvrhlsec0rd1y4tqmk.png)
The table can be defined as follows:


The parallel boxplots in R-Studio as,
Please find the graph file.
For point b:
Its performance overall of Class 1 is better, while the median of class 1 is greater than class 2, as well as the value (grades) of class 1, is less dispersed in relation to class 2.
For point c:
The stated 90 percent confidence interval for a significant difference is (0.09299, 11.413) Users now calculate the difference among Class 1 and Class 2 plan presented of mean value as:
![mean \ (Class \ 1) \\\\\[1\]\ 86.5\\\\mean\ (Class\ 2)\\\\](https://img.qammunity.org/2022/formulas/mathematics/college/cccd69d2y0oy771k2oyhm37qsa2bvinsav.png)
![\[ 1 \] \ 80.80952\\\\Difference = 86.5 - 80.80952 = 5.69048](https://img.qammunity.org/2022/formulas/mathematics/college/b0a7lwd1gimvpzgy85hgj94cn2k61ac0pr.png)
Its discrepancy among two estimations is between confidence interval of 90 percent (0.09299, 11.413). Its mean population of grades of two classes therefore differs significantly.