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Oxana [17]
2 years ago
10

4) Which number is a factor of 12, but not a multiple of 3?

Mathematics
1 answer:
sesenic [268]2 years ago
6 0

Answer:

the answer is 4

thats it pls

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In triangle KLM, if K is congruent to L, KL = 9x - 40, LM = 7x - 37, & KM = 3x + 23, find x & the measure of each angle.
timurjin [86]
This is hard to solve when we don't know the visual graph this question is trying to refer from
6 0
2 years ago
If f(x) = 2x + 3 and g(x) =4x - 1, find f(4).
fomenos

Solve the "f" function with substitute 4 and solve the "g" function with what we get for the "f" function.

f(4) = 2(8) + 3

f(4) = 16 + 3

f(4) = 19

g(19) = 4(19) - 1

g(19) = 76 - 1

g(19) = 75

Best of Luck!

6 0
3 years ago
(21-6)/3 how much money each one will make
wolverine [178]

Answer:

5

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3 0
3 years ago
Suppose that when a transistor of a certain type is subjected to an accelerated life test, the lifetime x (in weeks) has a gamma
elena-14-01-66 [18.8K]

Answer:

a) P(1 \leq X \leq 40)

In order to find this probability we can use excel with the following code:

=GAMMA.DIST(40;5,8,TRUE)-GAMMA.DIST(1,5,8,TRUE)

And we got:

P(1 \leq X \leq 40)=0.560

b) P(X \geq 40)=1-P(X

In order to find this probability we can use excel with the following code:

=1-GAMMA.DIST(40,5,8,TRUE)

And we got:

P(X \geq 40)=1-P(X

Step-by-step explanation:

Previous concepts

The Gamma distribution "is a continuous, positive-only, unimodal distribution that encodes the time required for \alpha events to occur in a Poisson process with mean arrival time of \beta"

Solution to the problem

Let X the random variable that represent the lifetime for transistors

For this case we have the mean and the variance given. And we have defined the mean and variance like this:

\mu = 40 = \alpha \beta  (1)

\sigma^2 =320= \alpha \beta^2  (2)

From this we can solve \alpha and [/tex]\beta[/tex]

From the condition (1) we can solve for \alpha and we got:

\alpha= \frac{40}{\beta}    (3)

And if we replace condition (3) into (2) we got:

320= \frac{40}{\beta} \beta^2 = 40 \beta

And solving for \beta = 8

And now we can use condition (3) to find \alpha

\alpha=\frac{40}{8}=5

So then we have the parameters for the Gamma distribution. On this case X \sim Gamma (\alpha= 5, \beta=8)

Part a

For this case we want this probability:

P(1 \leq X \leq 40)

In order to find this probability we can use excel with the following code:

=GAMMA.DIST(40;5,8,TRUE)-GAMMA.DIST(1,5,8,TRUE)

And we got:

P(1 \leq X \leq 40)=0.560

Part b

For this case we want this probability:

P(X \geq 40)=1-P(X

In order to find this probability we can use excel with the following code:

=1-GAMMA.DIST(40,5,8,TRUE)

And we got:

P(X \geq 40)=1-P(X

6 0
3 years ago
What is the Area and Perimeter for tbe rectangle?
Amanda [17]
<h2><u>Given</u><u> </u><u>:</u><u>-</u></h2>

length of rectangle = ( 4n-5 )

breadth of rectangle = ( 3n-2)

<h2><u>To</u><u> </u><u>find</u><u> </u><u>:</u><u>-</u></h2>

Area and perimeter of rectangle.

<h2><u>solution</u><u> </u><u>:</u><u>-</u></h2>

by the question ,

We know the area of rectangle = length × breadth

Area = (4n -5) (3n-2)

=  {12n}^{2} - 8n - 15n + 10

=  {12n}^{2}  - 23n + 10

now ,

perimeter = 2 ( length + breadth (

= 2 ( 4n-5 + 3n-2)

= 2 ( 7n-7)

= 14n -14

<u>I</u><u> </u><u>hopes</u><u> </u><u>this</u><u> </u><u>helps</u><u>.</u>

3 0
3 years ago
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