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goldfiish [28.3K]
3 years ago
6

For what value of x is the rational expression below undefined?(3x-12)/(9-x)

Mathematics
1 answer:
wolverine [178]3 years ago
8 0
When x=9 the expression is undefined.

That is because any number over 0 is undefined, including 0/0.
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A farmer paid $500 per month for deliveries over 10 months. For the other 2 months of the year, he paid $600 per month. Which nu
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The answer is option .. A : 500(10) + 600(2)
I Just took the assignment and that is the Correct Answer :)
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Simplify: (6x + 8) − (x + 4)
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Answer:

5x+4

Step-by-step explanation:

6x+8-x-4

5x+4

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I don't get this I need help
Finger [1]
In this question, you are given the volume of cylinder (24\pi cubic unit) and the ratio of the height:radius (3:1). Putting it into equation, it will look like this:
volume= 24\pi cubic unit
height = 3 radius
radius = 1/3 height

Using the volume formula of cylinder you will got the height
Volume=  \pi * radius * radius * height
24\pi cubic unit = \pi  *(1/3 height) * (1/3 height) * height
24\pi cubic unit / \pi  = 1/9 height cubic 
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height cubic = 24*9= 216 cubic unit
height=∛216 cubic unit= 6 unit
4 0
4 years ago
Assume a standard deviation of LaTeX: \sigma = 0.75σ = 0.75. You plan to take a random sample of 110 households, what is the pro
olchik [2.2K]

Answer:

P(2.50 < Xbar < 2.66) = 0.046

Step-by-step explanation:

We are given that Population Mean, \mu = 2.58 and Standard deviation, \sigma = 0.75

Also, a random sample (n) of 110 households is taken.

Let Xbar = sample mean household size

The z score probability distribution for sample mean is give by;

             Z = \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

So, probability that the sample mean household size is between 2.50 and 2.66 people = P(2.50 < Xbar < 2.66)

P(2.50 < Xbar < 2.66) = P(Xbar < 2.66) - P(Xbar \leq 2.50)

P(Xbar < 2.66) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{2.66-2.78}{\frac{0.75}{\sqrt{110} } } ) = P(Z < -1.68) = 1 - P(Z \leq 1.68)

                                                              = 1 - 0.95352 = 0.04648

P(Xbar \leq 2.50) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } \leq \frac{2.50-2.78}{\frac{0.75}{\sqrt{110} } } ) = P(Z \leq -3.92) = 1 - P(Z < 3.92)

                                                              = 1 - 0.99996 = 0.00004

Therefore, P(2.50 < Xbar < 2.66) = 0.04648 - 0.00004 = 0.046

3 0
3 years ago
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