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3 years ago

What number is 1/12 of 96

Mathematics

1 answer:

Reika [66]3 years ago

8 0

96 * 1/12 = 96 / 12 = 8

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What is the answer for the large polygon and how do you find the answer.

dolphi86 [110]

If you add all the sides toeghter youll get 132
so if you gotta show your work then just write this
36+30+21+12+15+18=132
i hope that answers your question

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4 years ago

For each mile that Jason runs, Meagan runs 1/4 Mile farther. If Jason ran 6 miles,how far did Megan run ?

Darina [25.2K]

6/1 × 1/4 = 6/4
6/4 = 1 2/4 = 1 1/2
6 + 1 1/2 = 7 1/2
Meagan ran 7 1/2 miles.

8 0

4 years ago

Solve by elimination 5x-14y=22 -6x+7y=3

Airida [17]

5x - 14y = 22 ⇒ 5x - 14y = 22
-6x + 7y = 3 ⇒ 12x - 14y = -6
 -7x = 28
 -7 -7
 x = -4
 5x - 14y = 22
 5(-4) - 14y = 22
 -20 - 14y = 22
 + 20 + 20
 -14y = 42
 -14 -14
 y = -3
 (x, y) = (-4, -3)

3 0

3 years ago

Which strategy would not correctly solve this story problem? Jason bought a bagel and a cup of coffee each Saturday. Each bagel

snow_tiger [21]

This answer is not correct

C. Use objects to model the problem. Take 8 pieces of play money. Take away 1 piece for the coffee and 2 pieces for the bagel.

8 0

4 years ago

For one toss of a certain coin, the probability that the outcome is heads is 0.6. If this coin is tossed 5 times, which of the f

pishuonlain [190]

Answer:

The probability is 0.33696

Step-by-step explanation:

The probability that the outcome will be heads x times is calculated using the following equation:

$P(x) = nCx*p^{x} *(1-p)^{n-x}$

nCx is calculated as:

$nCx=\frac{n!}{x!(n-x)!}$

This apply for variables that follows a binomial distribution. In which we have n independent and identical events with two possibles results: success and fail with a probability p and 1-p respectively.

So, In this case, n is equal to 5, and p is equal to 0.6 because we are going to call success the event in which the outcome of the coin is head.

Then, the probability that the outcome will be heads at least 4 times is calculated as:

P = P(4) + P(5)

Where P(4) is:

$P(4) = 5C4*0.6^{4} *(1-0.6)^{5-4}$

P(4)=0.2592

And P(5) is:

$P(5) = 5C5*0.6^{5} *(1-0.6)^{5-5}$

P(4)=0.07776

Finally, the probability is:

P = 0.2592 + 0.07776

P = 0.33696

5 0

4 years ago