All categories

3 years ago

Simplify the expression 2(4x)

Mathematics

2 answers:

Anni [7]3 years ago

8 0

Answer:

$\Huge \boxed{8x}$

Step-by-step explanation:

To simplify the expression, first you have to isolate it on one side of the equation. Remember to solve this problem, use the distributive property of $\displaystyle a(b+c)=ab+ac$ .

First, multiply numbers from left to right.

$\displaystyle 2\times4x=\boxed{8x}$

Therefore, the correct answer is 8x.

fredd [130]3 years ago

5 0

Answer:

Multiply 2 by the coefficient 4 and you get 8x, which is the answer

You might be interested in

How are the commutative property of addition and the commutive property of multiplication alike

andrew11 [14]

They both have an answer that is bigger than the numbers being added or multiplied together

7 0

3 years ago

A recipe needs a ratio of 2.5 of sugar to flour. If Joe uses 60g of sugar, how much flour should he use?

lisabon 2012 [21]

Answer:24

Explanation for equation:

3 0

3 years ago

Read 2 more answers

12 divided by 100 as a mixed number or whole number

tamaranim1 [39]

12/100 = 3/25
hope it helps

5 0

3 years ago

Need help 25 pts who can help me

Rashid [163]

Answer:

Number 1 should be 2

Step-by-step explanation:

7 0

3 years ago

Read 2 more answers

A manufacturing company wants to use a sample to estimate the proportion of defective tennis balls that are produced by a machin

Kitty [74]

Answer:

The least number of tennis balls needed for the sample is 1849.

Step-by-step explanation:

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

$CI=\hat p\pm z_{\alpha/2}\ \sqrt{\frac{\hat p(1-\hat p)}{n}}$

The margin of error for this interval is:

$MOE= z_{\alpha/2}\ \sqrt{\frac{\hat p(1-\hat p)}{n}}$

Assume that the proportion of all defective tennis balls is p = 0.50.

The information provided is:

MOE = 0.03

Confidence level = 99%

α = 1%

Compute the critical value of z for α = 1% as follows:

$z_{\alpha/2}=z_{0.01/2}=z_{0.005}=2.58$

*Use a z-table.

Compute the sample size required as follows:

$MOE= z_{\alpha/2}\ \sqrt{\frac{\hat p(1-\hat p)}{n}}$

$n=[\frac{z_{\alpha/2}\times \sqrt{\hat p(1-\hat p)} }{MOE}]^{2}$

$=[\frac{2.58\times \sqrt{0.50(1-0.50)} }{0.03}]^{2}\\\\=1849$

Thus, the least number of tennis balls needed for the sample is 1849.

8 0

3 years ago