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Rudik [331]
3 years ago
10

How many whole numbers are between 39/7 and 44/3

Mathematics
1 answer:
Agata [3.3K]3 years ago
4 0

Answer:

6

Step-by-step explanation:

6

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María bought five apples for 20 cents each, she also bought three pounds of bananas for 25 cents per pound. How much did she spe
gulaghasi [49]

Answer:

She spend $2.00.

Step-by-step explanation:

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4 years ago
Which of the following statements identifies and explains whether the two triangles are similar?
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I think it's "C"

the triangles are nor similar because the variables x and y have different values.

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7 0
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Put this fro greaest to least 0.35,4/9,42%,3/8
Alona [7]

Answer:

3/8 4/9 42% 0.35

Step-by-step explanation:

hope this right

5 0
3 years ago
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
4 years ago
Drag each label to the correct location on the table . Triangle EFG . Rectangle PQRS . Triangle TUV . Rectangle ABCD . Your choi
Tanya [424]

Answer:

there should be a pic or a diagram  

Step-by-step explanation:

6 0
3 years ago
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