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Varvara68 [4.7K]
3 years ago
15

Angles 1 and 2 are called?

Mathematics
2 answers:
Slav-nsk [51]3 years ago
8 0
3 main angles: Right; a right angle is 90 degrees, Obtuse; blunt more then 90 and less then 180, Acute: Less then 90.
Nitella [24]3 years ago
7 0
Angles<span> larger than a right </span>angle<span> and smaller than a straight </span>angle<span> (between 90° and 180°) are </span>called<span> obtuse </span>angles<span> ("obtuse" meaning "blunt"). An </span>angle<span> equal to </span>12<span> turn (180° or π radians) is </span>called<span> a straight </span>angle<span>.</span>
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Wires manufactured for use in a computer system are specified to have resistances between 0.11 and 0.13 ohms. The actual measure
Marina CMI [18]

Answer:

a) P(0.11

And we can find this probability with this difference and with the normal standard table or excel:

P(-1.11

b) P(0.11 < \bar X < 0.13)

And we can use the z score defined by:

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

And using the limits we got:

z = \frac{0.11-0.12}{\frac{0.009}{\sqrt{4}}}= -2.22

z = \frac{0.13-0.12}{\frac{0.009}{\sqrt{4}}}= 2.22

And we want to find this probability:

P(-2.22< 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".  

Part a

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

X \sim N(0.12,0.009)  

Where \mu=0.12 and \sigma=0.009

We are interested on this probability

P(0.11

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(0.11

And we can find this probability with this difference and with the normal standard table or excel:

P(-1.11

Part b

We select a sample size of n =4. And 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}})

And we want this probability:

P(0.11 < \bar X < 0.13)

And we can use the z score defined by:

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

And using the limits we got:

z = \frac{0.11-0.12}{\frac{0.009}{\sqrt{4}}}= -2.22

z = \frac{0.13-0.12}{\frac{0.009}{\sqrt{4}}}= 2.22

And we want to find this probability:

P(-2.22< Z

4 0
3 years ago
Read 2 more answers
Darnell has
irinina [24]

Answer:

the answer is 28

Step-by-step explanation:

345÷12=28.75

you can't have a 0.75 shirt

7 0
3 years ago
Read 2 more answers
How would I solve <img src="https://tex.z-dn.net/?f=%5Cfrac%7B1%7D%7B2%7D%20x-%5Cfrac%7B5%7D%7B3%7D%20%3D-%5Cfrac%7B1%7D%7B2%7D%
sdas [7]
Multiply both sides of the equation by 12. Move the variables to the left-hand side and change its sign. Move the constant to the left-hand side and change its sign. Collect like terms. Add the numbers. Divide both sides of the equation by 12.

1/2 x - 5= - 1/2 x + 19/4
6x -20= - 6x + 57
6x + 6x= 57 + 20
12x= 57 + 20
12x= 77
ANSWER
x = 77/12
Alternative Form .
x = 6 5/12, x= 6.416
7 0
3 years ago
Read 2 more answers
1/2 (4x+6)=1/3 (9x-24)
Maslowich
The answer to your question is X= 11
8 0
4 years ago
Read 2 more answers
PLEASE HELP
BigorU [14]
Try substituting some values in, and you will get your answer.

I'll do the first two.

y = (0) + 4 [=4]
y = (2) + 4 [=6]

In the table, the first two values for y are 6 and 8.
The first two values for y = x + 4 are 4 and 6.

Therefore, we can assume that the rate of change in the function y = x + 4 is less than the rate of change of the function represented in the table.

7 0
3 years ago
Read 2 more answers
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