Matrix Types and Properties

Matrix Types and Properties

Assessment

Interactive Video

Mathematics

6th - 9th Grade

Hard

Created by

Jackson Turner

FREE Resource

This video tutorial covers various types of matrices, including row, column, null, square, identity, opposite, transposed, and symmetric matrices. It explains the characteristics and properties of each type, providing examples and highlighting key features such as diagonals in square matrices and the transformation of rows to columns in transposed matrices. The tutorial also discusses the concept of symmetric matrices, where the matrix is equal to its transposed form.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a row matrix?

A matrix with all elements as zero

A matrix with only one column

A matrix with only one row

A matrix with equal number of rows and columns

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is true about a column matrix?

It has multiple rows and columns

It has only one row

It has only one column

It has equal number of rows and columns

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a null matrix?

A matrix with equal number of rows and columns

A matrix with only one column

A matrix with only one row

A matrix with all elements as zero

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What defines a square matrix?

It has equal number of rows and columns

It has only one column

It has only one row

It has all elements as zero

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a square matrix, what is the diagonal that goes from the top left to the bottom right called?

Secondary diagonal

Main diagonal

Horizontal diagonal

Vertical diagonal

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main characteristic of an identity matrix?

All elements are one

All elements are zero

Diagonal elements are one, and others are zero

It has equal number of rows and columns

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which matrix type has all its diagonal elements as one and the rest as zero?

Identity matrix

Symmetric matrix

Opposite matrix

Null matrix

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