You are viewing this question as it will appear in the manual grading interface.
Return to the normal view when
you are done.
Correct answer
Submission Elements
pl-multiple-choice
- (a) negative
pl-checkbox
- (b) A-B
- (d) D-E
- (f) B-C
pl-number-input
$x =$
1.3397133392
$x =$ 1.3
$x =$ 1.3
pl-integer-input
$y =$
42
pl-symbolic-input
$z =$
$x + y + 1$
pl-string-input
Prairie
Learn
pl-matrix-component-input
$A=$
$\begin{bmatrix} 1 & 2\\ 3 & 4\\\end{bmatrix}$
pl-matrix-input
$B=$
[1 2; 3 4]
$B=$
[[1, 2], [3, 4]]
pl-file-editor
pl-file-upload
Decorative Elements
pl-code
1 2 | def square(x): return x * x |
pl-figure
pl-file-download
pl-variable-output
1 2 | C = [5.000 6.000; 7.000 8.000]; D = [-1.000 4.000; 3.000 2.000]; |
1 2 | Cm = {{5, 6}, {7, 8}}; Dm = {{-1, 4}, { 3, 2}}; |
1 2 3 4 | import numpy as np C = np.array([[5, 6], [7, 8]]) D = np.array([[-1, 4], [ 3, 2]]) |
1 2 | C = matrix(c(5, 6, 7, 8), nrow = 2, ncol = 2, byrow = TRUE) D = matrix(c(-1, 4, 3, 2), nrow = 2, ncol = 2, byrow = TRUE) |
1 2 3 4 | from sympy import * C = Matrix([[5, 6], [7, 8]]) D = Matrix([[-1, 4], [ 3, 2]]) |
pl-matrix-latex
$C = \begin{bmatrix} 5 & 6\\ 7 & 8\\\end{bmatrix}$
pl-graph
pl-python-variable
1 | {'a': 1, 'b': 2, 'c': 3}
|
pl-dataframe
| col1 | col2 | |
|---|---|---|
| 0 | 1 | 3 |
| 1 | 2 | 4 |
2 rows x 2 columns
pl-overlay
What is the length of the hypotenuse?
Student view placeholder
In student views this area is used for assessment and score info.
Tools
Staff information
Variant
Started at:
2026-08-04 23:54:51 (CDT)
Duration:
0s
Show/Hide answer
{
"c": 4.242640687119285,
"acc": {
"key": "a",
"html": "negative",
"score": 1,
"feedback": null
},
"vpos": [
{
"key": "b",
"html": "A-B",
"feedback": null
},
{
"key": "d",
"html": "D-E",
"feedback": null
},
{
"key": "f",
"html": "B-C",
"feedback": null
}
],
"ans_sig": 1.34,
"matrixA": {
"_type": "ndarray",
"_dtype": "int64",
"_value": [
[
1,
2
],
[
3,
4
]
]
},
"matrixB": {
"_type": "ndarray",
"_dtype": "int64",
"_value": [
[
1,
2
],
[
3,
4
]
]
},
"ans_rtol": 1.339713339197286,
"int_value": 42,
"string_value": "Learn",
"symbolic_math": {
"_type": "sympy",
"_value": "x + y + 1",
"_variables": [
"x",
"y"
],
"_assumptions": {
"x": {
"commutative": true
},
"y": {
"commutative": true
}
},
"_custom_functions": []
}
}