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3 years ago

On Thursday, Movietown Theater made \dfrac45

Mathematics

1 answer:

Oliga [24]3 years ago

8 0

Answer:

11 Pounds

Step-by-step explanation:

Let the total pounds of popcorn made by Movietown Theater=x

On Thursday, they made $\dfrac{4}{5}$ of their popcorn with butter.

The remaining fraction of the butter will be: $1-\dfrac{4}{5} =\dfrac{1}{5}$

The remaining 35.2 Ounces was made without butter.

Let us convert from ounces to pounds.

1 Ounce =0.0625 Pound
35.2 Ounce=35.2 X 0.0625 =2.2 Pounds

Therefore:

$\dfrac{1}{5} \text{of the total pounds of popcorn} = 2.2\\\dfrac{1}{5}* x = 2.2\\x=2.2* 5\\x=11 $ Pounds$

Therefore, the total pounds of popcorn made by Movietown Theater on Thursday is 11 Pounds.

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Hello HahaThisNameIsTaken, I am here to answer your question:

Well, we would first need to get the square root of 175, which is:

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Read 2 more answers

The result of taking 3 from x and multiplying the answer by 4 is the same qs taking 3 from 5 times x

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Answer:

I think it is this:

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3 years ago

Anna wants to factor the polynomial p(x)=5x^4+40x. She knows that the sum of cubes formula is a^3+b^3=(a+b)(a^2−ab+b^2).

Artemon [7]

Answer:

Part A: Option 2, A: Anna’s answer is incorrect. She correctly factored out 5x, but incorrectly identified a and b, so her answer cannot be correct.

Part B: Option 3, B: 5x(x+2)(x^2−2x+4)

Step-by-step explanation:

p(x) = 5x^4 + 40x

p(x) = 5x(x^3 + 8)

p(x) = 5x(x + 2)(x^2 - 2x + 4)

Part A: Option 2, A: Anna’s answer is incorrect. She correctly factored out 5x, but incorrectly identified a and b, so her answer cannot be correct.

Part B: Option 3, B: 5x(x+2)(x^2−2x+4)

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3 years ago

0.3r=2.1. whats the solution

vivado [14]

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3 years ago

Household incomes are normally distributed with a mean of $47,500 and a standard deviation of $12,500. What is the probability o

Romashka [77]

Answer:

Option C: 15.87 is the correct answer

Step-by-step explanation:

Given

Mean = $47500

SD = $12500

We have to find the probability of having $60000 or more

So,

x = $60000

The z-score will be:

$z-score = z = \frac{x-mean}{SD}\\z = \frac{60000-47500}{12500}\\= \frac{12500}{12500}\\= 1$

Looking in the z-score table, we get

P(Z<60000) = 0.8413

In order to find the probability P(Z>60000) => 1-P(Z<60000)

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Hence,

Option C: 15.87 is the correct answer

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3 years ago