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3 years ago

What Is 2(2x-5)=3x+x-2x ?

Mathematics

2 answers:

oksano4ka [1.4K]3 years ago

7 0

Answer:

x = 5

Step-by-step explanation:

Solve for x:

2 (2 x - 5) = 3 x + x - 2 x

3 x + x - 2 x = 2 x:

2 (2 x - 5) = 2 x

Divide both sides by 2:

2 x - 5 = x

Subtract x from both sides:

(2 x - x) - 5 = x - x

2 x - x = x:

x - 5 = x - x

x - x = 0:

x - 5 = 0

Add 5 to both sides:

x + (5 - 5) = 5

5 - 5 = 0:

Answer: x = 5

Aleonysh [2.5K]3 years ago

6 0

2(2x-5)=3x+x-2x
4x-10=2x
4x-2x=10
2x=10
x=10/2
x=5

explanation: if 2(2) its mean 2x2
then you should do the class that the algebra at the left and the number at the right example(3x=9)
after that , divide the single number (9) by the algebra number (3) —(9/3)
so the answer will be the value of x

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Answer:

(a) The standard error is 0.0080.

(b) The margin of error is 1.6%.

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(d) The percentage of young people who earn high school diplomas has increased.

Step-by-step explanation:

Let p = proportion of young people who had earned a high school diploma.

A sample of n = 1400 young people are selected.

The sample proportion of young people who had earned a high school diploma is:

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(a)

The standard error for the estimate of the percentage of all young people who earned a high school diploma is given by:

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Compute the standard error value as follows:

$SE_{\hat p}=\sqrt{\frac{\hat p(1-\hat p)}{n}}$

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Thus, the standard error for the estimate of the percentage of all young people who earned a high school diploma is 0.0080.

(b)

The margin of error for (1 - α)% confidence interval for population proportion is:

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To test whether the percentage of young people who earn high school diplomas has increased, the hypothesis is defined as:

H₀: The percentage of young people who earn high school diplomas has not increased, i.e. p = 0.80.

Hₐ: The percentage of young people who earn high school diplomas has not increased, i.e. p > 0.80.

Decision rule:

If the 95% confidence interval for proportions consists the null value, i.e. 0.80, then the null hypothesis will not be rejected and vice-versa.

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