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Elina [12.6K]
2 years ago
12

Time Savings

Mathematics
1 answer:
Pavel [41]2 years ago
8 0

Answer:

26.6 repeating a line should be over the 6 couldn't figure out how to do on my phone or 26.66666666666666

Step-by-step explanation:

80 divide by 3 26.6 repeating 9 minus 3 is 6 6 divide 160 is 26.6 repeating 21 minus 9 is 12 12divided by 320 is 26.6 repeating

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The mass of Earth is about 6 X 1024
storchak [24]

Answer:

81

Step-by-step explanation:

To do "how many times greater" problems, you divide.  Think how you would answer this:  How many times greater is 48 than 6?  Dividing the larger 48 by the smaller 6 gives 8.  48 is 8 times greater than 6.

Do the same thing for these two masses.

6 x 10^24 divided by 7.4 x 10^22 is about 81.

The attached image shows a TI-83 display.

7 0
3 years ago
A ladder reaches the top of a 20 foot building. the ladder is 4.5 feet away from the building. how long is the ladder?
KATRIN_1 [288]

Answer:

C

Step-by-step explanation:

do that with pithagoras:

20² + 4,5² = x²

400 + 20,25 = x²

420,25 = x²

x = \sqrt{420,25}

x ~ 20,5

Letter C: 20,5 feet

4 0
2 years ago
Pls help i dont get i t
zmey [24]

Answer:

$4.80

Step-by-step explanation:

6 oranges for 1.80

sp 6 divided by 1.80 comes out to 0.3 per orange

0.3 times 16 comes out to 4.80

therefor $4.80

4 0
3 years ago
Read 2 more answers
Write an expression that can be used to check the quotient of 646 ÷ 3
S_A_V [24]
3 times x equals to 646
3x=646

5 0
3 years ago
Read 2 more answers
The mass of a species of mouse commonly found in houses is normally distributed with a mean of 20.2 grams with a standard deviat
Sophie [7]

Answer:

12.1%

Step-by-step explanation:

Given that:

Mean (μ) = 20.2 grams and standard deviation (σ) = 0.18 grams.

The z score is a score used to determine the number of standard deviations by which the raw score is above or below the mean. A positive z score means  that the raw score is above the mean and a negative z score means that the raw score is below the mean. It is given by:

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

a) For x < 19.99 g:

z=\frac{x-\mu}{\sigma}\\\\z=\frac{19.99-20.2}{0.18} \\\\z=-1.17

From the normal distribution table, P(x < 19.99) = P(z < -1.17) = 0.1210 = 12.1%

The probability that a randomly chosen mouse has a mass of less than 19.99 grams is 12.1%

6 0
3 years ago
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