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Murrr4er [49]
3 years ago
11

Simplify 4x2(2x2− 8x + 6). (1 point) 8x2− 32x + 24 6x2− 32x + 24 6 − 32x + 24x2 8x4− 32x3+ 24x2

Mathematics
2 answers:
Tanya [424]3 years ago
8 0

the asnwer is most likey 12x^4-32x^3+24x^2

Shalnov [3]3 years ago
7 0

Answer:

Last option:  8x^4-32x^3+24x^2

Step-by-step explanation:

Given the expression 4x^2(2x^2-8x + 6), you need to remember the Product of powers property, which states the following:

 (a^m)(a^n)=a^{(m+n)}

Knowing this, you can apply the Distributive property. Therefore, you get:

(4x^2)(2x^2)-(8x)(4x^2) +(6)(4x^2)=8x^{(2+2)}-32x^{(1+2)}+24x^2=8x^4-32x^3+24x^2

You can observe that this matches with the las option.

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Suppose that documentation lists the average sales price of a single-family home in the metropolitan Dallas/Ft. Worth/Irving, Te
Julli [10]

Answer:

"0.0373" seems to be the appropriate solution.

Step-by-step explanation:

The given values are:

n₁ = 43

n₂ = 35

\bar{x_1}=217800

\bar{x_2}=204700

\sigma_1=30300

\sigma_2=33800

Now,

The test statistic will be:

⇒  Z=\frac{\bar{x_1}-\bar{x_2}}\sqrt{\frac{\sigma_1^2}{n_1} +\frac{\sigma_2^2}{n_2} }

On substituting the given values in the above formula, we get

⇒      =\frac{217800-204400}{\sqrt{\frac{(30300)^2}{43} +\frac{(33800)^2}{35} } }

⇒      =\frac{217800-204400}{\sqrt{\frac{918090000}{43} +\frac{1142440000}{35} } }

⇒      =\frac{13400}{7347.93}

⇒      =1.7828

then,

P-value will be:

=  P(Z>1.7828)

=  0.0373

8 0
3 years ago
The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal supplier that provides metal w
vampirchik [111]

Answer:

The 95 percent confidence interval for the true mean metal thickness is between 0.2903 mm and 0.2907 mm

Step-by-step explanation:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1-0.95}{2} = 0.025

Now, we have to find z in the Ztable as such z has a pvalue of 1-\alpha.

So it is z with a pvalue of 1-0.025 = 0.975, so z = 1.96

Now, find the margin of error M as such

M = z*\frac{\sigma}{\sqrt{n}}

In which \sigma is the standard deviation of the population and n is the size of the sample.

M = 1.96\frac{0.000586}{\sqrt{59}} = 0.0002

The lower end of the interval is the sample mean subtracted by M. So it is 0.2905 - 0.0002 = 0.2903 mm

The upper end of the interval is the sample mean added to M. So it is 0.2905 + 0.0002 = 0.2907 mm

The 95 percent confidence interval for the true mean metal thickness is between 0.2903 mm and 0.2907 mm

4 0
3 years ago
ILL GIVE BRAINLIEST!!!!!!!!!!!!!!
emmasim [6.3K]
Option B) A and C I think
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3 years ago
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What is subtracting fractions <br> 7/10-1/4
Mandarinka [93]

Answer: 9/20

Step-by-step explanation:

6 0
3 years ago
What does x=? I know it is vertical
Rudik [331]
The angles are <span>supplementary
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7x + x + 20 = 180
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4 years ago
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