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natali 33 [55]
3 years ago
13

Pleaseeeee helppppppppp mee??

Mathematics
1 answer:
34kurt3 years ago
8 0
Domain- [-6, infinite)
Range: [0, Infinite)

This is because you get the x from the square root (-6) and the y from the invisible 0. Because it doesn’t have a negative x, it goes up.
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32. Solve for h. bh-u+g=w
ad-work [718]

Answer:

h = \frac{w+u-g}{b}

Step-by-step explanation:

bh-u+g=w                       original

bh= w+u-g                      move everything that does not have an h to other side

h = \frac{w+u-g}{b}                        divide off b

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3 years ago
What is 2/5 divided by 3/4
Triss [41]
It’s 8/15 decimal form it’ll be 0.53 hope this helped !
4 0
3 years ago
Find the length of the third side of the right triangle. Give an exact answer and an approximation to three decimal places if ne
trasher [3.6K]

Answer:

a = 32

Step-by-step explanation:

This is a right triangle and the square value of hypotenuse is equal to sum of square value of other two side lengths

68^2 = 60^2 + a^2

4624 = 3600 + a^2

4624 - 3600 = a^2

1024 = a^2 find the root for both sides

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8 0
3 years ago
A Niffler is a magical creature who loves to collect shiny objects and store them in their pouch, much like a kangaroo. The amou
Fudgin [204]

Answer:

Probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is 0.1515.

Step-by-step explanation:

We are given that the amount a Niffler can hold in their pouch is approximately normally distributed with a mean of 25 pounds of shiny objects and a standard deviation of 6.8 pounds.

Let X = <u><em>amount a Niffler can hold in their pouch</em></u>

So, X ~ Normal(\mu=25,\sigma^{2} =6.8^{2})

The z score probability distribution for normal distribution is given by;

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

where, \mu = population mean = 25 pounds

            \sigma = standard deviation = 6.8 pounds

Now, the probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is given by = P(X > 32 pounds)

  P(X > 32 pounds) = P( \frac{X-\mu}{\sigma} > \frac{32-25}{6.8} ) = P(Z > 1.03) = 1 - P(Z \leq 1.03)

                                                             = 1 - 0.8485 = 0.1515

<em>The above probability is calculated by looking at the value of x = 1.03 in the z table which has an area of 0.8485.</em>

<em />

Hence, the probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is 0.1515.

4 0
3 years ago
What is the decimal number 34.576 written in expanded form?
adoni [48]

Answer:

30+4+0.5+0.07+0.006

Step-by-step explanation:

3 0
3 years ago
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