Understanding Augmented Matrices and Row Echelon Form

Understanding Augmented Matrices and Row Echelon Form

Assessment

Interactive Video

Mathematics

9th - 12th Grade

Hard

Created by

Emma Peterson

FREE Resource

The video tutorial explains how to convert a system of linear equations into an augmented matrix and solve it using row echelon form. It covers the properties of row echelon form, the process of Gaussian elimination, and how to interpret the results, especially when the system has no solution. The tutorial also discusses the graphical representation of the equations as planes in space.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the size of the augmented matrix for a system of three linear equations with three unknowns?

4x3

4x4

3x4

3x3

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In row echelon form, what must the leading entry in each row be?

Zero

Any non-zero number

Two

One

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main diagonal in a matrix?

The diagonal from top left to bottom right

The diagonal from top right to bottom left

The row with the most zeros

The column with the most ones

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a valid operation in Gaussian elimination?

Multiplying a row by a non-zero real number

Adding a multiple of one row to another

Multiplying a row by zero

Interchanging two rows

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of adding a multiple of one row to another in Gaussian elimination?

It changes the size of the matrix

It makes the matrix inconsistent

It helps in obtaining zeros in specific positions

It creates a new row

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of scaling rows in the process of achieving row echelon form?

To add rows together

To interchange rows

To make the leading entry one

To make all entries zero

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to have zeros below the main diagonal in row echelon form?

To simplify the matrix

To ensure the matrix is square

To facilitate back substitution

To make the matrix symmetric

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