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Romashka [77]
3 years ago
11

Rewrite x5/6 divided by x1/6 in simplest radical form

Mathematics
1 answer:
lisabon 2012 [21]3 years ago
5 0
5/6 and 1/6 are exponents to X. The X’s are divided by each other. does that make sense?
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Use powers to rewrite these problems: Example: 5 x 5 = 52
jeyben [28]

Answer:

<u>Problem A</u>

5 * 5 * x * x * x

5^2*x^3

<u>Problem B</u>

8 * 8 * 8

8^3

<u>Problem C</u>

4 * 4 * 4 * x * x * x * x

4^3*x^4

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3 years ago
Marie has 50 pages in her notebook. She made a graph of the kinds of writing on all of the pages she has
MissTica

Answer:

31

Step-by-step explanation:

50 - 2-3-6-3-5 = 31

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3 years ago
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The answer is f(-2)=g(-2
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Mrs Nelson bought a 2-gallon container of ice cream. How many 2-fl-oz scoops of ice cream can be served from this container?
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3 years ago
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
3 years ago
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