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elixir [45]
3 years ago
7

12(x-2)+3x=1/2(x+6) +2

Mathematics
2 answers:
jeka943 years ago
8 0

Answer:

X = 2

Step-by-step explanation:

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

12(x−2)+3x=1/2(x+6)+2

Step 1: Simplify both sides of the equation.

12(x−2)+3x=1/2(x+6)+2

(12)(x)+(12)(−2)+3x=(1/2)(x)+(1/2)(6)+2(Distribute)

12x+−24+3x=1/2x+3+2

15x+−24=1/2x+5

15x−24=1/2x+5

Step 2: Subtract 1/2x from both sides.

15x−24−1/2x=1/2x+5−1/2x

\frac{29}{2}x−24=5

Step 3: Add 24 to both sides.

\frac{29}{2}x−24+24=5+24

\frac{29}{2}x = 29

Step 4: Multiply both sides by 2/29.

(\frac{29}{2})*(\frac{29}{2}x)=(\frac{29}{2})*(29)

x = 2

garri49 [273]3 years ago
6 0

Answer: I think your answer is 2 ( please let me know if this is wrong ) !

Step-by-step explanation:

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Answer:

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Step-by-step explanation:

Given:

Amount of cream in the container = \frac{3}{4}\ pound

Amount of cream used to make crème brûlée = \frac{3}{8}\ pound

We need to find the amount of cream remain in the container.

Solution:

Now we can say that;

the amount of cream remain in the container is equal to Amount of cream in the container minus Amount of cream used to make crème brûlée.

framing in equation form we get;

amount of cream remain in the container = \frac{3}{4}-\frac{3}{8}

Now we will make the denominator common using LCM we get;

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Now denominators are common so we will solve the numerators.

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Consider a normal distribution with mean 23 and standard deviation 7. What is the probability a value selected at random from th
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Answer:

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Step-by-step explanation:

Problems of normally distributed samples are 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.

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