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Elenna [48]
3 years ago
11

4(2a+P)=c+p+a express a in terms of c and p

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

Answer:

\frac{c-3p}{7}

Step-by-step explanation:

   1) 4(2a+p)=c+p+a

   2) Expand: 8a+4p=c+p+a

   3) subract a and 4p: 7a=c-3p

   4) Divide: a=\frac{c-3p}{7}

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PLEASE HELP ASAP IF YOU RIGHT YOU GET BRAINLLEST
ratelena [41]

Answer:

its number 3

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
|8m| = 104 absolute value
DENIUS [597]

Answer:

m=13

Step-by-step explanation:

Ok

l8ml=104

8m=104

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6 0
4 years ago
A report indicated that 37% of adults had received a bogus email intended to steal personal information. Suppose a random sample
fiasKO [112]

Answer:

5.05% probability that no more than 34% had received such an email.

Step-by-step explanation:

We use the binomial approximation to the normal to solve this problem.

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 = 700, p = 0.37

\mu = E(X) = np = 700*0.37 = 259

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{700*0.37*0.63} = 12.77

In a random sample of 700 adults, what is the probability that no more than 34% had received such an email?

34% is 0.34*700 = 238

So this probability is the pvalue of Z when X = 238.

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

Z = \frac{238 - 259}{12.77}

Z = -1.64

Z = -1.64 has a pvalue of 0.0505

5.05% probability that no more than 34% had received such an email.

7 0
4 years ago
What the percent of 126 is 12
ahrayia [7]
12 is 9.52380952381% of 126
5 0
3 years ago
Please help 7(-37 + k) = 26
Georgia [21]

Answer:

7(k−37)=26

  • Divide both sides by 7

k−37= 26/7

  • Add 37 to both sides

k= 26/7 +37

  • Simplify  26/7 +37 to 285/7

k= 285/7

Decimal Form: 40.714286

​

3 0
3 years ago
Read 2 more answers
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