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3 years ago

I DONT WANT TO FAIL!!!! PLEASE HELP ME WITH THE CORRECT ANSWER, WILL MARK AS BRAINLIEST!!!

Mathematics

2 answers:

GaryK [48]3 years ago

6 0

Answer:

x = -24

y = 66

Step-by-step explanation:

12x+9y = 102

12x+16y = 432

---------------------

y = 66

4x + (66*3) = 102

198-102 = -96

-96 / 4 = -24

Nutka1998 [239]3 years ago

5 0

Answer:

solution is $(6,10)$

Step-by-step explanation:

$4x+3y=54$

$3x+9y=108$

WE use elimination method to solve for x and y

Multiply the first equation by $-3$

$-12x-9y=-162$

$3x+9y=108$

Now add both the equations, we will get

$-9x=-54$

Divide by $-9$ on both sides

$x=6$

Now we plug in the x value in first equaiton and find out y

$4x+3y=54$

$4(6)+3y=54$

$24+3y=54$ , subtract 24 on both sides

$3y=30$

Divide both sides by 3

$y=10$

So solution is $(6,10)$

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Answer:

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3 years ago

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Answer:

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2 years ago

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Clearly, alternative B

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3 years ago

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Will mark BRAINLIEST !

Neko [114]

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Suppose a consumer group suspects that the proportion of households that have three cell phones NOT known to be 30%. A cell phon

leva [86]

Answer:

We conclude that the actual percentage of households is equal to 30%.

Step-by-step explanation:

We are given that a consumer group suspects that the proportion of households that have three cell phones NOT known to be 30%.

Their marketing people survey 150 households with the result that 43 of the households have three cell phones.

Let p = proportion of households that have three cell phones NOT known.

So, Null Hypothesis, $H_0$ : p = 30% {means that the actual percentage of households is equal to 30%}

Alternate Hypothesis, $H_A$ : p $\neq$ 30% {means that the actual percentage of households different from 30%}

The test statistics that would be used here One-sample z-test for proportions;

T.S. = $\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n} } }$ ~ N(0,1)

where, $\hat p$ = sample proportion of households having three cell phones = $\frac{43}{150}$ = 0.29

n = sample of households = 150

So, the test statistics = $\frac{0.29-0.30}{\sqrt{\frac{0.30(1-0.30)}{150} } }$

= -0.27

The value of z test statistic is -0.27.

Also, P-value of the test statistics is given by;

P-value = P(Z < -0.27) = 1 - P(Z $\leq$ 0.27)

= 1 - 0.6064 = 0.3936

Now, at 1% significance level the z table gives critical value of -2.58 and 2.58 for two-tailed test.

Since our test statistic lies within the range of critical values of z, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which we fail to reject our null hypothesis.

Therefore, we conclude that the actual percentage of households is equal to 30%.

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3 years ago