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Georgia [21]
3 years ago
9

Solve 3(4x+4)-6(3+2x)=0

Mathematics
2 answers:
seraphim [82]3 years ago
8 0

Answer:

− 6  = 0

Step-by-step explanation:

spin [16.1K]3 years ago
7 0
3(4x + 4) - 6(3 + 2x) = 0
distribute
12x + 12 - 18 - 12x = 0
combine liked terms
the Xs cancel out
-6 = 0

Answer:
No solution because -6 does not equal 0.
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Answer:

y = 3

Step-by-step explanation:

find out the slope

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m = 0

so the line is horizontal

passing through the point (x,3)

x can be any value

so the equation is

y = 3

6 0
3 years ago
What type of function is represented in the table of values shown below ?
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5 0
3 years ago
Carla purchased a hat for $12, a purse for $26, and a dress for $125. The sales tax rate was 5.6 percent. What was the total amo
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Read 2 more answers
You and your friend are painting the walls in your apartment. You estimate
Novay_Z [31]

Answer:

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Step-by-step explanation:

3 0
4 years ago
.A variety of stores offer loyalty programs. Participating shoppers swipe a bar-coded tag at the register when checking out and
Leni [432]

Answer:

a) Null hypothesis:\mu \leq 120  

Alternative hypothesis:\mu > 120  

b) t=\frac{130-120}{\frac{40}{\sqrt{80}}}=2.236  

The degrees of freedom are given by:

df = n-1 = 80-1=79

The p value for this case taking in count the alternative hypothesis would be:

p_v =P(t_{79}>2.236)=0.0141  

Step-by-step explanation:

Information given

\bar X=130 represent the sample mean for the amount spent each shopper

s=40 represent the sample standard deviation

n=80 sample size  

\mu_o =120 represent the value to verify

t would represent the statistic    

p_v represent the p value f

Part a

We want to verify if the shoppers participating in the loyalty program spent more on average than typical shoppers, the system of hypothesis would be:  

Null hypothesis:\mu \leq 120  

Alternative hypothesis:\mu > 120  

The statistic for this case would be given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)  

Replacing the info given we got:

t=\frac{130-120}{\frac{40}{\sqrt{80}}}=2.236  

The degrees of freedom are given by:

df = n-1 = 80-1=79

The p value for this case taking in count the alternative hypothesis would be:

p_v =P(t_{79}>2.236)=0.0141  

5 0
4 years ago
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