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Klio2033 [76]
3 years ago
14

Please help me !!!!!!!

Mathematics
1 answer:
matrenka [14]3 years ago
4 0
I THINK ITS D HAVE A GOOD DAY
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Select all that apply.
julsineya [31]

Answer:

The first and third is correct.

Step-by-step explanation:

I'm not a expert but I know its right.

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How would I put this equation into standard form for a parabola?
Bezzdna [24]

Answer:

fffffffffffffffffffffffffffffff

Step-by-step explanation:


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3 years ago
(x-y) (x-1,y+3) (I need the answer pls)
SVEN [57.7K]

Answer:

x² - 2xy + 3x + y² - 3y

Step-by-step explanation:

1: Multiply the second parentheses by each term from the first parentheses

X x(x - 1 y + 3) - y x (x - 1y + 3)

2: Distribute x through parentheses

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3 years ago
Which situation can be represented by the<br> inequality 4x − 25 &lt; 125?
GaryK [48]
First add 25 to both sides of the inequality.
You get 4x < 150
Now divide both sides by 4.
You get x < 37.5
So x can be anything less than 37.5,  such as 36,  35 or 34.
8 0
3 years ago
The length of the human pregnancy is not fixed. It is known that it varies according to a distribution which is roughly normal,
fgiga [73]

Answer:

a) Figure attached

b) P(234

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(234

And we can find this probability with this difference:

P(-2

An we know using the graph in part a that this area correspond to 0.95 or 95%

c) P(250

And we can find this probability with this difference:

P(-1

An we know using the graph in part a that this area correspond to 0.95 or 34+34+13.5+2.35%=83.85%

d) P(X

And using the z score we got:

P(X

And that correspond to approximately 0.15%

Step-by-step explanation:

Part a

For this case we can see the figure attached.

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".  

Part b

Let X the random variable that represent the length of human pregnancy of a population, and for this case we know that:

Where \mu=266 and \sigma=16

We are interested on this probability

P(234

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(234

And we can find this probability with this difference:

P(-2

An we know using the graph in part a that this area correspond to 0.95 or 95%

Part c

P(250

And we can find this probability with this difference:

P(-1

An we know using the graph in part a that this area correspond to 0.95 or 34+34+13.5+2.35%=83.85%

Part d

We want this probability:

P(X

And using the z score we got:

P(X

And that correspond to approximately 0.15%

5 0
3 years ago
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