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kotegsom [21]
3 years ago
6

41 points + brainliest​

Mathematics
1 answer:
BARSIC [14]3 years ago
8 0

Answer:

i wish i could help but i can't see it

Step-by-step explanation:

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the difference between 2 whole numbers is 66. the ratio of the 2 numbers is 2:5, what are the 2 numbers​
shtirl [24]

Answer:

44 and 110

Step-by-step explanation:

The ratio of the 2 numbers = 2 : 5 = 2x : 5x ( x is a multiplier ) , thus

difference = 5x - 2x = 3x , then

3x = 66 ( divide both sides by 3 )

x = 22

Thus

2x = 2 × 22 = 44

5x = 5 × 22 = 110

The 2 numbers are 44 and 110

8 0
3 years ago
I was wondering if someone could help me out, I’m not to sure how to answer this, I thought it was just adding the exponents sin
Harman [31]

Answer:

(1/2)^14

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Dominick iS training for a race. He spends 0.75 hours running each time he runs and 1.5 hours swimming each
Yuri [45]

Answer:

htjyrjrjtuk6j556jj656

6 0
3 years ago
How do I solve this?
sasho [114]

Answer:

-m^4n^4

--------------

    108

Step-by-step explanation:

4 0
3 years ago
College students average 8.6 hours of sleep per night with a standard deviation of 35 minutes. If the amount of sleep is normall
Soloha48 [4]

Answer:

4.27%

Step-by-step explanation:

We have been given that college students average 8.6 hours of sleep per night with a standard deviation of 35 minutes. We are asked to find the probability of college students that sleep for more than 9.6 hours.

We will use z-score formula to solve our given problem.

z=\frac{x-\mu}{\sigma}

z = z-score,

x = Random sample score,

\mu = Mean,

\sigma = Standard deviation.

Before substituting our given values in z-score formula, we need to convert 35 minutes to hours.

35\text{ min}=0.58\text{ Hour}

z=\frac{9.6-8.6}{0.58}

z=\frac{1}{0.58}

z=1.72

Now, we need to find P(z>1.72).

Using formula P(z>a)=1-P(z, we will get:

P(z>1.72)=1-P(z

Using normal distribution table, we will get:

P(z>1.72)=1-0.95728

P(z>1.72)=0.04272

0.04272\times 100\%=4.272\%

Therefore, 4.27% of college students sleep for more than 9.6 hours.

7 0
3 years ago
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