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NNADVOKAT [17]
3 years ago
15

What is the least common multiple of 2x^2 and 4x+12

Mathematics
1 answer:
Shalnov [3]3 years ago
4 0

Answer:

4 x ^2 ( x + 3 )

Step-by-step explanation:

The least common multiple (LCM) of two or more non-zero whole numbers is the smallest whole number that is divisible by each of those numbers. In other words, the LCM is the smallest number that all of the numbers divide into evenly.

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Help Me Please I need help
Neko [114]

Answer:

Step-by-step explanation:

m = \frac{y_{2} -y_{1} }{x_{2} -x_{1} }

y - y_{1} = m( x - x_{1} )

y = mx + b

~~~~~~~~~~~

(4, 5)

( - 6, 15)

m = (15 - 5) / ( - 6 - 4 ) = - 1

y - 5 = ( - 1)( x - 4 )

y =<em> (- 1) </em>x + <em>9</em>

8 0
3 years ago
Read 2 more answers
Let n1equals50​, Upper X 1equals30​, n2equals50​, and Upper X 2equals10. Complete parts​ (a) and​ (b) below. a. At the 0.05 leve
Viefleur [7K]

Answer:

Null hypothesis:p_{1} = p_{2}  

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

z=\frac{0.6-0.2}{\sqrt{0.4(1-0.4)(\frac{1}{50}+\frac{1}{50})}}=4.082    

p_v =2*P(Z>4.082)=4.46x10^{-5}  

So the p value is a very low value and using any significance level for example \alpha=0.05 always p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion 1 is significantly different from proportion 2.

Step-by-step explanation:

1) Data given and notation  

X_{1}=30 represent the number of people with a characteristic in 1

X_{2}=10 represent the number of people with a characteristic in 2

n_{1}=50 sample of 1 selected  

n_{2}=50 sample of 2 selected  

p_{1}=\frac{30}{50}=0.6 represent the proportion of people with a characteristic in 1

p_{2}=\frac{10}{50}=0.2 represent the proportion of people with a characteristic in 2

z would represent the statistic (variable of interest)  

p_v represent the value for the test (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the proportion 1 is different from proportion 2 , the system of hypothesis would be:  

Null hypothesis:p_{1} = p_{2}  

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

We need to apply a z test to compare proportions, and 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{30+10}{50+50}=0.4  

3) Calculate the statistic  

Replacing in formula (1) the values obtained we got this:  

z=\frac{0.6-0.2}{\sqrt{0.4(1-0.4)(\frac{1}{50}+\frac{1}{50})}}=4.082    

4) Statistical decision

For this case we don't have a significance level provided \alpha, but we can calculate the p value for this test.    

Since is a two sided test the p value would be:  

p_v =2*P(Z>4.082)=4.46x10^{-5}  

So the p value is a very low value and using any significance level for example \alpha=0.05 always p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion 1 is significantly different from proportion 2.  

3 0
3 years ago
En una escuela hay 196 estudiantes en los cuales 84 son mujeres. La razón geometríca de mujeres a varanos que estudian en dicha
AlexFokin [52]

Answer:

La razón geométrica de mujeres a varones es de 3 mujeres por cada 4 hombres.

Step-by-step explanation:

El enunciado es incorrecto, su forma correcta es: <em>En una escuela hay 196 estudiantes, de los cuales 84 son mujeres. La razón geométrica de mujeres a varones que estudian en dicha escuela es:</em>

Es sabido que la especie humana solo tiene dos formas en un sentido biológico: hombre y mujer. Si 84 de los 196 estudiantes son mujeres, entonces 112 son hombres. En consecuencia, la razón geométrica de mujeres a varones es de 3 mujeres por cada 4 hombres.

7 0
3 years ago
CASLAN UR HERE 56+6x567890-9
sammy [17]

Answer: 35, 209, 171

Step-by-step explanation: hope i helped

4 0
3 years ago
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Is 45 a multiple of 4? Explain your answer.<br> 50
poizon [28]

Answer:

No

Step-by-step explanation:

Because 4 cannat be mutiplyed  into 45

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3 years ago
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