IM 7.6.20 Lesson: Combining Like Terms (Part 1)
Explain why each statement is true.
[math]5+2+3=5+\left(2+3\right)[/math]
[math]9a[/math] is equivalent to [math]11a-2a[/math].
[math]7a+4-2a[/math] is equivalent to [math]7a+\text-2a+4[/math].
[math]8a-\left(8a-8\right)[/math] is equivalent to 8.
[size=150]Diego and Jada are both trying to write an expression with fewer terms that is equivalent to [math]7a+5b-3a+4b[/math].[/size][br][list][*]Jada thinks [math]10a+1b[/math] is equivalent to the original expression.[/*][*]Diego thinks [math]4a+9b[/math] is equivalent to the original expression.[/*][/list][br]We can show expressions are equivalent by writing out all the variables. [br] [math]7a+5b-3a+4b[/math][br] [math]\left(a+a+a+a+a+a+a\right)\text{ }+\left(b+b+b+b+b\right)-\left(a+a+a\right)+\left(b+b+b+b\right)[/math][br] [math]\left(a+a+a+a\right)+\left(a+a+a\right)+\left(b+b+b+b+b\right)-\left(a+a+a\right)+\left(b+b+b+b\right)[/math][br] [math]\left(a+a+a+a\right)+\left(b+b+b+b+b\right)+\left(a+a+a\right)-\left(a+a+a\right)+\left(b+b+b+b\right)[/math][br] [math]\left(a+a+a+a\right)+\left(b+b+b+b+b\right)+\left(b+b+b+b\right)[/math][br] [math]\left(a+a+a+a\right)+\left(b+b+b+b+b+b+b+b+b\right)[/math][br] [math]4a+9b[/math][br][br]Explain why the expression on each row (after the first row) is equivalent to the expression on the row before it.
Here is another way we can rewrite the expressions. Explain why the expression on each row (after the first row) is equivalent to the expression on the row before it.[br] [math]7a+5b-3a+4b[/math][br] [math]7a+5b+\left(-3a\right)+4b[/math][br] [math]7a+\left(-3a\right)+5b+4b[/math][br] [math]\left(7+-3\right)a+\left(5+4\right)b[/math][br] [math]4a+9b[/math]
Follow the instructions for a number puzzle:
[list][*]Take the number formed by the first 3 digits of your phone number and multiply it by 40[/*][*]Add 1 to the result[/*][*]Multiply by 500[/*][*]Add the number formed by the last 4 digits of your phone number, and then add it again[/*][*]Subtract 500[/*][*]Multiply by [math]\frac{1}{2}[/math][/*][/list][br]What is the final number?
How does this number puzzle work?
Can you invent a new number puzzle that gives a surprising result?
Complete the Set A's expressions that will make the left side of the equation equivalent to the right side. Check your results with your partner and resolve any disagreements. Next move on to Set B.
IM 7.6.20 Practice: Combining Like Terms (Part 1)
Andre says that [math]10x+6[/math] and [math]5x+11[/math] are equivalent because they both equal 16 when [math]x[/math] is 1. Do you agree with Andre? Explain your reasoning.
Select [b]all [/b]expressions that can be subtracted from [math]9x[/math] to result in the expression [math]3x+5[/math].
Select [b]all [/b]the statements that are true for any value of [math]x[/math].
The library is having a party for any student who read at least 25 books over the summer. Priya read [math]x[/math]books and was invited to the party. [br][br]Which inequality describes the situation?
The library is having a party for any student who read at least 25 books over the summer. Kiran read [math]x[/math] books over the summer but was not invited to the party.[br][br]Which inequality describes the situation?
Which inequality describes the situation?[br][br][img]data:image/png;base64,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[/img][br]
Which inequality describes the situation?[br][br][img]data:image/png;base64,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[/img][br]
Consider the problem: A water bucket is being filled with water from a water faucet at a constant rate. When will the bucket be full? What information would you need to be able to solve the problem?