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3 years ago

The upper crust is the region that starts at Earth's surface and ends between

Mathematics

1 answer:

d1i1m1o1n [39]3 years ago

3 0

Answer:

70 to 100, if im not wrong

Step-by-step explanation:

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PLZ PLZ HELP ME I NEED THIS FOR ONE OF MY FIANLE ASSIGNMENTS OF THE YEAR AND WHOEVER ANSWERS CORRECTLY WILL GET BRAINLEST

gogolik [260]

5×4=20 is closer to 24.9344.

$487 \times 512=24.9344$

Let's try placing the decimals after the hundreds place.

$4.87 \times 5.12=24.9344$

It works.

There is more than one possibility.

$.487 \times 51.2=24.9344$

$48.7 \times .512=24.9344$

7 0

3 years ago

What is the solution to the following system of equations?

Alchen [17]

Answer:

it has infinitely many solutions

3 0

3 years ago

Determine the intercepts of the line.

djverab [1.8K]

$y = -3x +12\\\\\text{Plug x = 0 to find y - intercept,}\\\\y = -3(0) +12 = 12\\\\\text{So, y-intercept is (0,12).}\\\\\text{Plug y=0 to find x - intercept,}\\\\0 = -3x +12\\\\\implies -3x = -12\\\\\implies 3x = 12\\\\\implies x = \dfrac{12}{3} = 4 \\\\\\\text{So, x - intercept is (4,0).}$

5 0

2 years ago

Simplify each expression justify each step 6+(8x +13)

zhuklara [117]

That's easy you just need to listen in school to answer it

5 0

3 years ago

In a sample of 70 stores of a certain company, 62 violated a scanner accuracy standard. It has been demonstrated that the condi

uysha [10]

Answer:

We need at least 243 stores.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which

z is the zscore that has a pvalue of $1 - \frac{\alpha}{2}$ .

The margin of error of the interval is:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

For this problem, we have that:

$n = 70, p = \frac{62}{70} = 0.886$

95% confidence level

So $\alpha = 0.05$ , z is the value of Z that has a pvalue of $1 - \frac{0.05}{2} = 0.975$ , so $Z = 1.96$ .

Determine the number of stores that must be sampled in order to estimate the true proportion to within 0.04 with 95% confidence using the large-sample method.

We need at least n stores.

n is found when M = 0.04. So

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

$0.04 = 1.96\sqrt{\frac{0.886*0.114}}{n}}$