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Aneli [31]
2 years ago
11

Please help I can’t understand how to solve this problem

Mathematics
1 answer:
Pavel [41]2 years ago
8 0

The perimeter of the rectangle:

2(4y)+2(3y+3) and 146 units.

We have the equation:

2(4y)+2(3y+3)=146\qquad|\text{use distributive property}\\\\8y+(2)(3y)+(2)(3)=146\\\\8y+6y+6=146\qquad|\text{combine like terms}\\\\14y+6=146\qquad|\text{subtract 6 from both sides}\\\\14y=140\qquad|\text{divide both sides by 14}\\\\y=10\\\\AD=4y\to AD=4(10)=40

Answer: AD = 40 units.

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The graph shows the costs of two types of fruit at a store. A graph measuring cost and amount. Two lines, labeled Cherries and A
dybincka [34]

Answer:

Hello! Your answer is less than. (<)

Step-by-step explanation:

I took the test and got it right, proof below!!!!

Hope this helps!! so so sorry if im late! <3

5 0
3 years ago
HELP PLEASE ! if right will mark as brainliest !
bekas [8.4K]

Answer:

b

Step-by-step explanation:

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6 0
3 years ago
Consider the probability that no less than 96 out of 145 people will not get the flu this winter. Assume the probability that a
dsp73

Answer:

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 145, p = 0.61

So

\mu = E(X) = np = 145*0.61 = 88.45

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{145*0.61*0.39} = 5.87

Consider the probability that no less than 96 out of 145 people will not get the flu this winter.

More than 95 people, which is the same as 1 subtracted by the pvalue of Z when X = 95. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{95 - 88.45}{5.87}

Z = 1.115

Z = 1.115 has a pvalue of 0.8676

1 - 0.8676 = 0.1324

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

6 0
2 years ago
Simplify using the distributive property:
Alborosie
6(y-8)=6*y-6*8=6y-48
4 0
2 years ago
The height of a box is 7 the length is three inches more than the width find the volume is 126
babunello [35]

Answer:

<h2>answer c: 10</h2>

Step-by-step explanation:

v=H*W*L

280=7*W*(6+W)

280=42W+7W^2

40=6w+w^2

W^2+6W-40=0

(W-4)(W+10)=0

W=4

We can only use positive results

L=6+W

L=4+6=10

=10

6 0
2 years ago
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