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LUCKY_DIMON [66]
3 years ago
11

A recipe calls for 5 cups of sugar and 2 cups of brown sugar. You are enlarging

Mathematics
1 answer:
GarryVolchara [31]3 years ago
5 0

7.5 cups sugar will be used.

Step-by-step explanation:

Given,

Recipe calls 5 cups of sugar and 2 cups of brown sugar.

After enlarging 3 cups brown sugar is used.

To find the amount of sugar

Solution

2 cups enlarging into 3 cups

That means, \frac{3}{2} times it's increasing.

Hence, 5 cups of sugar is also increasing by \frac{3}{2} times

So, amount of sugar = 5× \frac{3}{2} = \frac{15}{2} = 7.5 cups

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azamat

Answer:

G.

Step-by-step explanation:

Since the y-int is (0, 4), you know you have to have an equation that has a +4 in it. When you calculate for the slope, you should get 4/3, and so the only equation that has those 2 is G.

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1/4(z +3z)+ 7=−z + 1 please help with this ive been stuck
madam [21]
First, simplify the parenthesis. You’ll get:
1/4(4z)+7=-z+1

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z+7=-z+1

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2 years ago
Is y^24 a perfect cube
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8 0
2 years ago
A tattoo enthusiast website claims that :
KATRIN_1 [288]

Answer:

The probability that a person is a Millennial given that they have tattoos is 0.5069 (50.69%) or about 0.51 (51%).

Step-by-step explanation:

We have here a case where we need to use Bayes' Theorem and all conditional probabilities related. Roughly speaking, a conditional probability is a kind of probability where an event determines the occurrence of another event. Mathematically:

\\ P(A|B) = \frac{P(A \cap B)}{P(B)}

In the case of the Bayes' Theorem, we have also a conditional probability where one event is the sum of different probabilities.

We have a series of different probabilities that we have to distinguish one from the others:

The probability that a person has a tattoo assuming that is a Millennial is:

\\ P(T|M) = 0.47

The probability that a person has a tattoo assuming that is of Generation X is:

\\ P(T|X) = 0.36

The probability that a person has a tattoo assuming that is of Boomers is:

\\ P(T|B) = 0.13

The probability of being of Millennials is:

\\ P(M) = 0.22

The probability of being of Generation X is:

\\ P(X) = 0.20

The probability of being of Boomers is:

\\ P(B) = 0.22

Therefore, the probability of the event of having a tattoo P(T) is:

\\ P(T) = P(T|M)*P(M) + P(T|X)*P(X) + P(T|B)*P(B)

\\ P(T) = 0.47*0.22 + 0.36*0.20 + 0.13*0.22

\\ P(T) = 0.204

For non-independent events that happen at the same time, we can say that the probability of occurring simultaneously is:

\\ P(M \cap T) = P(M|T)*P(T)

Or

\\ P(T \cap M) = P(T|M)*P(M)

But

\\ P(M \cap T) = P(T \cap M)

Then

\\ P(M|T)*P(T) = P(T|M)*P(M)

We are asked for the probability that a person is a Millennial given or assuming that they have tattoos or P(M | T). Solving the previous formula for the latter:

\\ P(M|T)*P(T) = P(T|M)*P(M)

\\ P(M|T) = \frac{P(T|M)*P(M)}{P(T)}

We have already know that

\\ P(T|M) = 0.47\;P(M) = 0.22\;and\;P(T) = 0.204.

Therefore

\\ P(M|T) = \frac{0.47*0.22}{0.204}

\\ P(M|T) = 0.50686 \approx 0.51

Thus, the probability that a person is a Millennial given that they have tattoos is 0.5069 (50.69%) or about 0.51 (51%).

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sveta [45]
The graph of G(x) is the graph of F(x) shifted 8 units to the right.
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