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Vinil7 [7]
3 years ago
14

Which of the following terms correctly describe the object below?

Mathematics
2 answers:
Hitman42 [59]3 years ago
6 0

Answer: Square, cube, solid.

Step-by-step explanation: The following shape could pass for square cube and solid, because they all form a square - liked shape.

mote1985 [20]3 years ago
4 0

Its a solid and a cube

You were wrong with square because a square only has one face while a cube has 6.

You were also wrong with polygon because while polygons are 1-dimensional a cube is 3-dimensional

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2. What's the position of 9 in the number 932,805?
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It is 900,000 it is in the hundreds thousandths place.
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A single card is drawn from a standard 52 card deck. Work out the probability of choosing "an ace". Give your answer in its simp
Furkat [3]

Answer:

1/13

Step-by-step explanation:

Total cards = 52

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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
What is (x-2)(x+2) in standard from
trasher [3.6K]
Answer= x^2-4

I hope this helps.
5 0
3 years ago
How many real solutions does the equation V2x + 4<br> = 3x + 1<br> have?
Verdich [7]

Answer:

5v^2x + 4

Step-by-step explanation:

I'm not sure but i hope this help's

3 0
3 years ago
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