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nadya68 [22]
3 years ago
10

Barbra can walk 3,200 meters in 24 minutes. How far can she walk in three minutes.

Mathematics
1 answer:
lisabon 2012 [21]3 years ago
3 0

Answer:

Step-by-step explanation:

To find how far she can walk in 3 minutes, we need to find how fast she can walk in 1 minutes. We do this by dividing the distance she walked by the time she walked. Lets do so.

3200/24=133.33

She walks 133.33 meters per minute. Now to find her distance in 3 minutes w multiply this number by 3.

133.33*3=400

Barbra walks 400 meters every 3 minutes.

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4 [ (16 ÷2) - 1 ]<br><br> help me please?
8_murik_8 [283]
16 / 2 = 8
8 - 1 = 7
4 x 7 = 28

Hope this helps :)
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3 years ago
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Nora uses 2 ft of ribbon to make a bow she has 8 yards of ribbon . how many bows can she make
7nadin3 [17]
She can make 12 bows because there are 3 feet in one yard so 8*3 is 24. then you divide 24 by 2 and you get 12 
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The physics department of a college has 8 male professors, 11 female professors, 16 male teaching assistants, and 6 female teach
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To determine the probability that one or the other circumstances will occur, you will count the number of possible outcomes and divide it by all the possible outcomes.

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2 years ago
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The heights of baby giraffe are normally distributed with a mean of 63.6 inches and a standard deviation of 2.5 inches. If 100 b
ANEK [815]

Answer:

P(\bar X

And we can solve this using the following z score formula:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we use this formula we got:

z = \frac{63-63.6}{\frac{2.5}{\sqrt{100}}}= -2.4

So we can find this probability equivalently like this:

P( Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the heights of a population, and for this case we know the distribution for X is given by:

X \sim N(63.6,2.5)  

Where \mu=63.6 and \sigma=2.5

We select n =100. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

We want this probability:

P(\bar X

And we can solve this using the following z score formula:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we use this formula we got:

z = \frac{63-63.6}{\frac{2.5}{\sqrt{100}}}= -2.4

So we can find this probability equivalently like this:

P( Z

4 0
3 years ago
When steve woke up. his temerature was 102. two hours later it was 3 lower what is his temerature now?
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Steve's original temperature - 102

2 hours later it dropped 3 degrees

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Steve's current temperature is 99.
8 0
3 years ago
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