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3 years ago

78.63 - 3.47 × (5.41 - 3.41)4

Mathematics

1 answer:

givi [52]3 years ago

4 0

Look at the attached picture

Hope it will help you...

Good luck on your assignment

~pragya

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Maya is helping a gardener plant 300 bulbs. They plant 20% of the bulbs on Monday and 30% of the bulbs on Tuesday. Maya says thi

Katyanochek1 [597]

Answer:

because the total is 300 not 100 so 50 is not reasonable because that is the percentage they planted and since it is more than 100 then it should be a percent of 300 not 100. Maya is wrong about placing 50 bulbs instead they placed 150.

Step-by-step explanation:

8 0

3 years ago

12x - 32 - 2x + 68 None of the answers match

trasher [3.6K]

Answer:

10x=36

Step-by-step explanation:

5 0

3 years ago

A teacher wants to build a scale model of the Earth and Pluto to compare their sizes. The Earth has a diameter of approximately

koban [17]

Answer:

Step-by-step explanation:

A scale model means that the ratios stay the same.

Therefore, Earth's diameter divided by Pluto's diameter is equal to the ratio of Earth's model's diameter divided by Pluto's model's diameter.

We can write this as

8000 / 1500 = 32/ Pluto's model's diameter. Representing Pluto's model's diameter as P, we can say

8000 / 1500 = 32 / P

multiply both sides by 1500 to remove a denominator

8000 = 32 * 1500 / P

multiply both sides by P to remove the other denominator

8000 * P = 32 * 1500

divide both sides by 8000 to isolate the P

P = 32 * 1500/8000

= 6 inches

3 0

3 years ago

Which of the following is equivalent to the complex number i^36? 1 i -1 -i

Masja [62]

Answer:

Step-by-step explanation:

$i^4=1\\\\i^{36}=(i^{4})^9=(1)^9=1$

5 0

2 years ago

Suppose that the probabilities of a customer purchasing 0, 1, or 2 books at a book store are 0.20.2, 0.30.3, and 0.50.5, res

PIT_PIT [208]

Answer:

0.78

Step-by-step explanation:

We have the next probability distribution:

X P(X)

0 0.2

1 0.3

2 0.5

As we can see when we add all the probabilites the result is 1. Now calculating the mean we have:

$mean=\mu=(0\times0.2)+(1\times 0.3)+(2\times 0.5)=0+0.3+1=1.3$

The standard deviation is:

$\sigma=\sqrt{\sum(x-\mu)^{2}(P(x))}$

Then using the data that we have:

$\sigma=\sqrt{\sum(x-\mu)^{2}(P(x))}\\\sigma=\sqrt{(0-1.3)^{2}(0.2)+(1-1.3)^{2}(0.3)+(2-1.3)^{2}(0.5)}\\\\\sigma=\sqrt{(-1.3)^{2}(0.2)+(-0.3)^{2}(0.3)+(0.7)^{2}(0.5)}\\\\\sigma=\sqrt{(1.69)(0.2)+(0.09)(0.3)+(0.49)(0.5)}\\\\\sigma=\sqrt{0.338+0.027+0.245}\\\\\sigma=\sqrt{0.61}\\\\\sigma=0.78\\$

Then the standard deviation is 0.78

6 0

3 years ago