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leonid [27]
3 years ago
12

4(x - 6) + 2 = 6x -2 solve the equation

Mathematics
2 answers:
musickatia [10]3 years ago
7 0

Answer:

x=−10

Step-by-step explanation:

Let's solve your equation step-by-step.

4(x−6)+2=6x−2

Step 1: Simplify both sides of the equation.

4(x−6)+2=6x−2

(4)(x)+(4)(−6)+2=6x+−2(Distribute)

4x+−24+2=6x+−2

(4x)+(−24+2)=6x−2(Combine Like Terms)

4x+−22=6x−2

4x−22=6x−2

Step 2: Subtract 6x from both sides.

4x−22−6x=6x−2−6x

−2x−22=−2

Step 3: Add 22 to both sides.

−2x−22+22=−2+22

−2x=20

Step 4: Divide both sides by -2.

−2x

−2

=

20

−2

x=−10

blsea [12.9K]3 years ago
7 0

Answer:x=-10

Step-by-step explanation:4x-24+2=6x-2 -22+4x=6x-2 , 2x=-20 , x=-10

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5 0
3 years ago
Together teammates pedro and ricky got 2685 base hits last season. Pedro had 277 more than ricky. How many hits did each player
Ksju [112]
Let x be the number of base hits Ricky got. With this representation, the number of base hits Pedro got is x + 277. The sum of their number of hits is equal to 2685. The equation that best represent the scenario is,
                                   x + x + 277 = 2685
The value of x is 1204. Therefore, Ricky got 1204 and Pedro got 1481. 
3 0
3 years ago
What number is a factor of 24 but not a multiple of 12 Answer choices A) 8 B) 9 C) 5 D)
schepotkina [342]
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5 0
3 years ago
Read 2 more answers
An article written for a magazine claims that 78% of the magazine's subscribers report eating healthily the previous day. Suppos
Schach [20]

Answer:

89.44% probability that less than 80% of the sample would report eating healthily the previous day

Step-by-step explanation:

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

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:

p = 0.78, n = 675

So

\mu = E(X) = np = 675*0.78 = 526.5

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{675*0.78*0.22} = 10.76

What is the approximate probability that less than 80% of the sample would report eating healthily the previous day?

This is the pvalue of Z when X = 0.8*675 = 540. So

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

Z = \frac{540 - 526.5}{10.76}

Z = 1.25

Z = 1.25 has a pvalue of 0.8944

89.44% probability that less than 80% of the sample would report eating healthily the previous day

8 0
4 years ago
The recipe shows the amounts of three ingredients used to make trail mix.
egoroff_w [7]
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8 0
3 years ago
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