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Alex_Xolod [135]
3 years ago
5

Which is equivalent to

Mathematics
2 answers:
Mama L [17]3 years ago
7 0

Answer:

A) -12

Step-by-step explanation:

timofeeve [1]3 years ago
4 0

Answer:

-12

Step-by-step explanation:

-36 divided by 3 = -12

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The temperature in Vancouver is -8ºC, in Montreal it is -4ºC , in Seattle it is -6ºC, and in Buffalo it is -10ºC. Which city is
Marina CMI [18]

Answer:

Buffalo

Thats the answer because temp is decreasing back so 10 is higher plus lower than all

8 0
3 years ago
Find the average. Round your answer to the nearest whole number.<br><br> 8, 12, 7, 5, 2
AVprozaik [17]

Answer:

7

Step-by-step explanation:

8 + 12 + 7 + 5 + 2= 34

34/5 =6.8

Rounded =7

5 0
3 years ago
What is the amplitude of the graph of
Lera25 [3.4K]
It is 2 :)
Y=A sin(B(x+C))+D

Where A is equal to the amplitude.

Would appreciate brainliest answer :)
4 0
2 years ago
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
How do I solve these for example 3
Natasha2012 [34]
As the three longitudinal lines are parallel:

angle 4 = 5 = 6 = 82 degree (corresponding angles) = 9 = 8 = 7 = 82 degrees (vertical angles)

and

angle 11 = 180-82= 98 degrees (linear pair)

so:

angle 10 = 11 = 12 = 98 degrees (corresponding angles) = 3 = 2 = 1 = 98 degrees (vertical angles)
.


hope you got it
8 0
3 years ago
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