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Marizza181 [45]
3 years ago
5

What is 35% of a number if 12 is 15% of that number

Mathematics
1 answer:
Dmitry_Shevchenko [17]3 years ago
7 0

Answer:

28

Step-by-step explanation:

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Y=x 1 2y-2x=6 i cant under stand how to do this it always confuses me please help
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Is the question asking you to find x?


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-4p+6r-10p+3r simplified?
Natasha2012 [34]

Answer:

\boxed{\bold{-14p+9r}}

Explanation:

Group Like Terms:

= \bold{-4p-10p+6r+3r}

Combine Similar Elements: \bold{-4p-10p=-14p}

= \bold{-14p+6r+3r}

Combine Similar Elements: \bold{6r+3r=9r}

= \bold{-14p+9r}

////// Mordancy \\

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3 years ago
Determine the quadrant(s) in which (x,y) is located so that the condition(s) is (are) satisfied.
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Quadrant 2 is the only one that can satisfy the condition. In there, x<0 and y>0

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3 years ago
In the past decades there have been intensive antismoking campaigns sponsored by both federal and private agencies. In one study
DIA [1.3K]

Answer:

z=\frac{0.384-0.362}{\sqrt{0.374(1-0.374)(\frac{1}{4276}+\frac{1}{3908})}}=2.055    

The p value can be calculated from the alternative hypothesis with this probability:

p_v =2*P(Z>2.055)=0.0399    

And the best option for this case would be:

C. between 0.01 and 0.05.

Step-by-step explanation:

Information provided

X_{1}=1642 represent the number of smokers from the sample in 1995

X_{2}=1415 represent the number of smokers from the sample in 2010

n_{1}=4276 sample from 1995

n_{2}=3908 sample from 2010  

p_{1}=\frac{1642}{4276}=0.384 represent the proportion of smokers from the sample in 1995

p_{2}=\frac{1415}{3908}=0.362 represent the proportion of smokers from the sample in 2010

\hat p represent the pooled estimate of p

z would represent the statistic    

p_v represent the value for the pvalue

System of hypothesis

We want to test the equality of the proportion of smokers and the system of hypothesis are:    

Null hypothesis:p_{1} = p_{2}    

Alternative hypothesis:p_{1} \neq p_{2}    

The statistic is given by:

z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

Where \hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{1642+1415}{4276+3908}=0.374  

Replacing the info given we got:

z=\frac{0.384-0.362}{\sqrt{0.374(1-0.374)(\frac{1}{4276}+\frac{1}{3908})}}=2.055    

The p value can be calculated from the alternative hypothesis with this probability:

p_v =2*P(Z>2.055)=0.0399    

And the best option for this case would be:

C. between 0.01 and 0.05.

7 0
3 years ago
What is the answer to -3(9-x)+6x
marin [14]

Answer: 9−27

Step-by-step explanation:

4 0
3 years ago
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