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Elodia [21]
3 years ago
11

Simplify 5a – (2a + 6)

Mathematics
2 answers:
Temka [501]3 years ago
3 0

Answer:

Step-by-step explanation:

Add '-2a' to each side of the equation.

5a + -2a = -6 + 2a + -2a

Combine like terms: 5a + -2a = 3a

3a = -6 + 2a + -2a

Combine like terms: 2a + -2a = 0

3a = -6 + 0

3a = -6

Divide each side by '3'.

a = -2

Simplifying

a = -2

sdas [7]3 years ago
3 0

5a -2a -6

3a -6

Step-by-step explanation:

..........................

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I dont know the answers to this and its SUPER important I get it right.​
Mazyrski [523]

Answer:

all of dem

Step-by-step explanation:

6 0
3 years ago
There's a pair of points (3,5), (x,15) and a slope of 2 how do I find x​
sergeinik [125]

You have the slope and you have two points, so you can use the slope equation to find x.

b=\frac{(y_2-y_1)}{(x_2-x_1)} \\2=\frac{(15-5)}{(x-3)} \\2(x-3)=(15-5)\\2x-6=10\\2x=16\\x=8

So your answer is x = 8.

8 0
3 years ago
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Suppose that prices of a certain model of a new home are normally distributed with a mean of $150,000. Use the 68-95-99.7 rule t
levacccp [35]

Answer:

68% of buyers paid between $147,700 and $152,300.

Step-by-step explanation:

We are given that prices of a certain model of a new home are normally distributed with a mean of $150,000.

Use the 68-95-99.7 rule to find the percentage of buyers who paid between $147,700 and $152,300 if the standard deviation is $2300.

<u><em>Let X = prices of a certain model of a new home</em></u>

SO, X ~ Normal(\mu=150,000 ,\sigma=2,300)

The z score probability distribution for normal distribution is given by;

                             Z  =  \frac{X-\mu}{\sigma}  ~ N(0,1)

where, \mu = population mean price = $150,000

            \sigma = standard deviation = $2,300

<u>Now, according to 68-95-99.7 rule;</u>

Around 68% of the values in a normal distribution lies between \mu-\sigma and \mu-\sigma.

Around 95% of the values occur between \mu-2\sigma and \mu+2\sigma .

Around 99.7% of the values occur between \mu-3\sigma and \mu+3\sigma.

So, firstly we will find the z scores for both the values given;

         Z  =  \frac{X-\mu}{\sigma}  =  \frac{147,700-150,000}{2,300}  = -1

         Z  =  \frac{X-\mu}{\sigma}  =  \frac{152,300-150,000}{2,300}  = 1

This indicates that we are in the category of between \mu-\sigma and \mu-\sigma.

SO, this represents that percentage of buyers who paid between $147,700 and $152,300 is 68%.

7 0
4 years ago
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Dmitry [639]
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6 0
2 years ago
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Gnoma [55]

Answer:

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Step-by-step explanation:

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8 0
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