Absolute Value Inequalities
Add yours
Sorry, we don't have any videos for this topic yet.
Let teachers know you need one by requesting it
Key Questions

Example
The solution set of
#x > 1# is the set of all real numbers.
I hope that this was helpful.

Answer:
When you isolate the absolute value on one side and the absolute value of the quantity is set to be a negative number.
Explanation:
For example:
I2x+3I+9 â‰¤ 7
(Isolate the absolute value.)
I2x+3I â‰¤ 2There is no solution for this example because the absolute value of a quantity can never be a negative number.

If all the terms of the inequality are absolute values, then Yes, but if the inequality contains a term which is not force to an absolute value then No.
If all terms of an inequality are absolute values then the only way either side could be negative is if the collection of terms on that side contained a subtraction. For example:
#a b < c#
But such an inequality could always be written without the subtraction by adding an amount equal to that being subtracted to each side
#(a b < c) > (a < c + b)# Since this is the case one side of the inequality must have an absolute value that is less than (or less than or equal to) some positive number. Lets call this positive number
#K# .The minimal side of the inequality must be
#< (K)# AND#> (K)# (a compound relationship).Note however, if any of the terms are not absolute values, this does not apply. For example:
#a < b#
is not a compound relationship;#a# is not restricted except by an upper limit of#b# . 
This key question hasn't been answered yet. Answer question

This key question hasn't been answered yet. Answer question
Questions
Linear Inequalities and Absolute Value

1Inequality Expressions

2Inequalities with Addition and Subtraction

3Inequalities with Multiplication and Division

4MultiStep Inequalities

5Compound Inequalities

6Applications with Inequalities

7Absolute Value

8Absolute Value Equations

9Graphs of Absolute Value Equations

10Absolute Value Inequalities

11Linear Inequalities in Two Variables

12Theoretical and Experimental Probability