Understanding Gauss-Jordan Elimination

Understanding Gauss-Jordan Elimination

Assessment

Interactive Video

Mathematics

11th - 12th Grade

Hard

Created by

Jennifer Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main goal of using Gauss-Jordan elimination on a system of linear equations?

To increase the number of equations

To eliminate all variables

To transform a dependent system into an independent one

To make all coefficients equal

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the transformation process, what is the significance of identifying that no two equations are multiples of each other?

It indicates that the system is inconsistent

It shows that the equations are independent

It highlights the dependency through linear combinations

It means the system has no solution

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in the Gauss-Jordan elimination process?

Changing the first row's leading entry to one

Multiplying all rows by zero

Adding rows together

Subtracting rows

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to plane two when a pivot operation is applied to make the x-coefficient zero?

It becomes parallel to the y-axis

It rotates around its line of intersection with plane one

It disappears

It becomes identical to plane one

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why do rows two and three become multiples of each other during the transformation?

Because they represent the same plane

To simplify the system

Due to a calculation error

Because they are independent

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result when row three is zeroed out in the matrix?

The system becomes inconsistent

The system now consists of only two planes

The system becomes dependent

The system has no solution

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What must be true for a matrix to be in reduced row echelon form?

Each leading entry must be the only non-zero entry in its column

The matrix must have more rows than columns

All entries must be zero

All rows must be identical

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