PLEASE HELP

Mathematics

1 answer:

Inessa05 [86]3 years ago

6 0

Answer:

A=6x²

Step-by-step explanation:

A cube is an object which is three-dimensional. A cube has six square faces.

If the side length = x inches

The area of a square = x²

Therefore, the expression for the surface area of a cube(with 6 square faces) with a side length of x is given as:

A=6x²

You might be interested in

X^4-x^2-42=0 <br>need to solve equation and find solution set

Ipatiy [6.2K]

That's a quadratic equation in $x^2$ , which means we get an extra square root and $\pm$ at the end.

$x^4 - x^2 - 42 = 0$

We factor,

$(x^2 - 7)(x^2+6) = 0$

$x^2 = 7 \quad \textrm{or} \quad x^2 = -6$

$x = \pm \sqrt{7} \quad \textrm{or} \quad x = \pm i \sqrt{6}$

5 0

3 years ago

Jillians annual salary as an actress is $35,000. She receives a paycheck every two weeks. What is jillians biweekly salary?

netineya [11]

There are 52 weeks in a year and if she gets paid every two weeks then divide 52 by 2 to get 26 so she would get paid 26 times a year so divide her annual salary by 26 to get $1,346.15 every other week. So her biweekly salary is $1,346.15.

8 0

4 years ago

Read 2 more answers

There were 324 adults surveyed. Among the participants, the mean number of hours of sleep each night was 7. 5 and the standard d

NeTakaya

The margin of error for 324 adults surveyed with 1.6 standard deviations is 0.1742.

<h3>What is the margin of error?</h3>

The margin of error can be defined as the amount of random sampling error in the results of a survey. It is given by the formula,

$\text{MOE}_{\gamma}=z_{\gamma} \times \sqrt{\frac{\sigma^{2}}{n}}$

$\text{MOE}$ = margin of error

$\gamma$ = confidence level

$z_{\gamma}$ = quantile

σ = standard deviation

n = sample size

As it is given that the sample size of the survey is 324, while the standard deviation of the survey is 1.6.

We know that the value of the z for 95% confidence interval is 1.96. Therefore, using the formula of the standard of error we can write it as,

$\text{MOE}_{\gamma}=z_{\gamma} \times \sqrt{\dfrac{\sigma^{2}}{n}}\\\\\text{MOE}_{\gamma}=1.96 \times \sqrt{\dfrac{1.6^{2}}{324}}\\\\\text{MOE}_{\gamma}=0.1742$