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andrew-mc [135]
3 years ago
14

Is the function shown linear or nonlinear? Explain

Mathematics
1 answer:
inessss [21]3 years ago
5 0
The function is not linear because the slope is not constant. I am pretty sure that it is an exponential function, since the line approaches 0 but never touches it, and it grows exponentially. The exponential parent function is f(x)=b^x.
Hope this helped.
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What additional information do you need to prove triangle GHI is congruent to triangle DEF?
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We are given that the sides GH and DE of the triangles are congruent.

Also, we are given that the angles H and E are congruent.


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or

ii) if we are given that angles G and D are congruent, then the triangles are congruent by the Angle Side Angle postulate.



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Answer:

1. P(X>69)=P(Z>-1.136)=1-P(Z

2. P(X

3. P(52.6 \leq X \leq 105.4)=P(-3

Step-by-step explanation:

Assuming the value for the mean 79 and the deviation 8.8

1) 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".  

2) Part a

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

X \sim N(79,8.8)  

Where \mu=79 and \sigma=8.8

We are interested on this probability

P(X>69)

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(X>69)=P(\frac{X-\mu}{\sigma}>\frac{69-\mu}{\sigma})=P(Z-1.136)

And we can find this probability on this way:

P(Z>-1.136)=1-P(Z

3) Part b

P(X

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(X

And we can find this probability on this way:

P(Z

4) Part c

We need to find first the limits for 3 deviations within the mean

\mu -3 \sigma = 79-3(8.8)=52.6

\mu +3 \sigma = 79+3(8.8)=105.4

P(52.6

And we can find this probability on this way:

P(-3

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-3

4 0
3 years ago
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Answer:

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Step-by-step explanation:

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Answer:

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Radius- 4.5cm/diameter-9cm

Step-by-step explanation:

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Answer:

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Step-by-step explanation:

i hope this helps

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