Gaussian Elimination and Matrix Operations

Gaussian Elimination and Matrix Operations

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This video tutorial explains how to solve a system of two equations with two variables using the Gaussian elimination method, also known as the Gauss-Jordan elimination method. The process involves transforming the system into a matrix form, performing row operations to simplify the matrix, and achieving a reduced row echelon form to find the solution. The tutorial concludes with the solution of the system, demonstrating the x and y values.

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21 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another name for the Gaussian elimination method?

Euler's method

Gauss-Jordan elimination method

Newton's method

Lagrange's method

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the default coefficient if none is specified in an equation?

1

3

2

0

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of transforming a system of equations into matrix form?

To simplify the equations

To eliminate variables

To make them more complex

To solve them graphically

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an augmented matrix?

A matrix with additional rows

A matrix that includes the coefficients and constants of a system of equations

A matrix with only zeros

A matrix with only ones

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal when transforming an augmented matrix?

To have all elements equal to one

To have all elements equal to zero

To have ones on the main diagonal and zeros elsewhere

To have zeros on the main diagonal

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What operation is performed first in the Gaussian elimination method?

Dividing rows

Multiplying rows

Subtracting rows

Adding rows

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of multiplying the first row by 3 and the second row by -2?

A matrix with all zeros

A matrix with all ones

A transformed matrix with new coefficients

An unchanged matrix

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