Assignment 10.1:
Apply
Cramer's Rule to solve simultaneous linear equations of 3 unknowns.
The
coefficient matrix A is as follows:
A
= np.array([[5, -14, -3], [1, 2, 2], [-7, 4, 5]]),
and
the constants are: -39, -2, and -29.
Hint:
For the determinant of matrix A use np.linalg.det(A).
Assignment
10.2:
Eight
students' grades in the respective courses are given via this
dictionary:
{'Math' |
: [80, 89, 93, 66, 84, 85,
74, 64], |
'Science' |
: [94, 76, 88, 78, 88, 92,
60, 85], |
'English' |
: [83, 76, 93, 96, 77, 85,
92, 60], |
'History' |
: [96, 66, 76, 85, 78, 88,
69, 99]} |
Form the corresponding pandas
dataframe and report the means and standard deviations by student and
by course. Provide the 5-number summary for each course.
Upload
a zip of your source file(s).
