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laila [671]
3 years ago
12

-3(4n-2m+5) (in distributive property and pleasee hurry!)

Mathematics
2 answers:
tekilochka [14]3 years ago
7 0

Answer:

-12n+6m-15

Step-by-step explanation:

NNADVOKAT [17]3 years ago
6 0

Answer:

-12n+6m-15

Hope this helps! ❤️❤️❤️

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ava had 30 dollars. she spent half of what she had at the friday night football game and then earned 8 dollars babysitting. how
Tresset [83]

30/2+8

30/2=15

15+8=23

she finished with $23

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The range of y= 2/3 sin x for pi < x < 3pi/2 is ___?
victus00 [196]

Answer:

-2/3 < y < 0

Step-by-step explanation:

y = Asin(x)

Edit*

There's a node (y=0) at pi for sine wave. At 3/2pi will be the min. So range goes from -2/3 to 0

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Solve the following system of equations. <br> 2x + y = 3 <br> x = 2y - 1
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4 years ago
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2/5 divided by 3 and 1/10
Licemer1 [7]
2/5ths divides by 3 and 1/10 is 0.129
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3 years ago
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Birth weights of babies born to full-term pregnancies follow roughly a Normal distribution. At Meadowbrook Hospital, the mean we
Marina86 [1]

Answer:

Required Probability = 0.1283 .

Step-by-step explanation:

We are given that at Meadow brook Hospital, the mean weight of babies born to full-term pregnancies is 7 lbs with a standard deviation of 14 oz.

Firstly, standard deviation in lbs = 14 ÷ 16 = 0.875 lbs.

Also, Birth weights of babies born to full-term pregnancies follow roughly a Normal distribution.

Let X = mean weight of the babies, so X ~ N(\mu = 7 lbs , \sigma^{2}  = 0.875^{2}  lbs)

The standard normal z distribution is given by;

              Z = \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, X bar = sample mean weight

             n = sample size = 4

Now, probability that the average weight of the four babies will be more than 7.5 lbs = P(X bar > 7.5 lbs)

P(X bar > 7.5) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{7.5-7}{\frac{0.875}{\sqrt{4} } }  ) = P(Z > 1.1428) = 0.1283 (using z% table)

Therefore, the probability that the average weight of the four babies will be more than 7.5 lbs is 0.1283 .

8 0
4 years ago
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