What is a matrix?

Exploring the World of Matrices

Quiz
•
Others
•
11th Grade
•
Hard
Adegoke Titilola
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A matrix is a type of graph.
A matrix is a rectangular array of numbers or symbols arranged in rows and columns.
A matrix is a collection of random letters.
A matrix is a single number.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you add two matrices?
Multiply the matrices element-wise.
Subtract the matrices element-wise.
Transpose the matrices before adding.
Add corresponding elements of the matrices.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the determinant of a 2x2 matrix?
ad + bc
a^2 + b^2
ab + cd
ad - bc
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of matrix multiplication.
Matrix multiplication is the same as element-wise multiplication of matrices.
Matrix multiplication can only be performed on square matrices.
Matrix multiplication involves adding two matrices together to get a single matrix.
Matrix multiplication is the process of multiplying two matrices to produce a new matrix, defined by the dot product of rows and columns.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the identity matrix?
A matrix with all elements equal to one.
The identity matrix is a square matrix with ones on the diagonal and zeros elsewhere.
A square matrix with zeros on the diagonal and ones elsewhere.
A rectangular matrix with random values.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you find the inverse of a matrix?
The inverse of a matrix A can be found using A^(-1) = (1/det(A)) * adj(A) or by row reduction.
Subtract the matrix from zero
Add the matrix to its identity matrix
Multiply the matrix by its transpose
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are eigenvalues and eigenvectors?
Eigenvalues are scalars associated with a matrix, and eigenvectors are the vectors that are scaled by these eigenvalues when the matrix is applied.
Eigenvalues are always positive numbers.
Eigenvectors are always orthogonal to each other.
Eigenvalues represent the dimensions of a matrix.
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