All categories

3 years ago

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.

You might be interested in

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

PolarNik [594]

The answer is option .. A : 500(10) + 600(2)
I Just took the assignment and that is the Correct Answer :)

7 0

3 years ago

Simplify: (6x + 8) − (x + 4)

Rasek [7]

Answer:

5x+4

Step-by-step explanation:

6x+8-x-4

5x+4

3 0

3 years ago

Read 2 more answers

The problem in the picture

valentina_108 [34]

Answer:

number 3 or 2

Step-by-step explanation:

7 0

3 years ago

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
1/9 height cubic = 24 cubic unit
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