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Butoxors [25]
3 years ago
8

PLEASE PLEASE PLEASE HELP I WILL GIVE BRAINLIEST

Mathematics
2 answers:
Rasek [7]3 years ago
6 0

Answer:

well the person aboube me seemsright so ,,.. yeah!~

Step-by-step explanation:

Marat540 [252]3 years ago
4 0

Answer:

y >  6x -100  

Step-by-step explanation:

the slope intercept equation of the line is

y=mx+b

m is the slope = (y2-y1) / (x2-x1) so between the y-intercept (0,-100) and the given point (25, 50) we have m= -100-50/0-25 = -150/-25 = 6

y= 6x -100

now we have to figure the inequqlity part so take point (0, 0) that belongs to the solution and substitute in the equation

0 = 6*0 -100

0 = -100  for the equation to be true we have to make it 0 > -100, we also need to make it NOT greater or equal then because the line is doted not solid  so the inequality is

y >  6x -100  

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X − 5 = 17 A) x = 22 B) x = 12 C) x = 3.4 D) x = -12
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A. X=22

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x - 5 = 17

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3 years ago
In testing a certain kind of missile, target accuracy is measured by the average distance X at which the missile explodes. The d
3241004551 [841]

Answer:

The answer is c) 761.0

Step-by-step explanation:

Mathematical hope (also known as hope, expected value, population means or simply means) expresses the average value of a random phenomenon and is denoted as E (x). Hope is the sum of the product of the probability of each event by the value of that event. It is then defined as shown in the image, Where x is the value of the event, P the probability of its occurrence, "i" the period in which said event occurs and N the total number of periods or observations.

 The variance of a random variable provides an idea of the dispersion of the random variable with respect to its hope. It is then defined as shown in the image.

Then you first calculate E [x] and E [x^{2}], and then be able to calculate the variance.

E[x]=0*\frac{1}{40} +10*\frac{1}{20} +50*\frac{1}{10} +100*\frac{33}{40}

E[x]=0+\frac{1}{2} +5+\frac{165}{2}

E[X]=88

So <em>E[X]²=88²=7744</em>

On the other hand

E[x^{2} ]=0^{2} *\frac{1}{40} +10^{2} *\frac{1}{20} +50^{2} *\frac{1}{10} +100^{2} *\frac{33}{40}

E[x²]=0+5+250+8250

<em>E[x²]=8505 </em>

Then the variance will be:

Var[x]=8505-7744

<u><em>Var[x]=761 </em></u>

5 0
3 years ago
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