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sesenic [268]
3 years ago
10

Please help 10 FREE POINTS!!!!

Mathematics
2 answers:
Maurinko [17]3 years ago
7 0

Answer:

364.5

Step-by-step explanation:

you would need a calculator for it, unless you can do exponential math at such a degree... if you're using a PC there's a good graphing calculator at Desmos.com, it can show you how a graph looks, which shows that when n is 7, the answer is 364.5. also it wouldn't be 1093.5 because the exponent is n-1 which means that while n could be 7, you need to take away 1 before using it as an exponent.

brilliants [131]3 years ago
5 0
The answer should be 729/2
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Step-by-step explanation:

55

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3 years ago
What is the equation shown in the graph? Explain your answer.
Yuliya22 [10]

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y=x

Step-by-step explanation:

The graph is going 1 up and 1 to the right. You can plug in a value for x and get y. So if you plug in 1 for x, you get 1 for y and if u plug in 2 for x, you get 2 for y, so when you graph (1, 1) and (2, 2) you know the graph is y=x.

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4 0
3 years ago
Solve for x. Leave your answer in simplest radical form.
pochemuha

Answer:

x = 4√7

Step-by-step explanation:

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6 0
3 years ago
John and Jane are married. The probability that John watches a certain television show is .7. The probability that Jane watches
ikadub [295]

a) The probability  that both John and Jane watch the show is 0.12.

b.The probability that Jane watches the show, given that John does is  0.1714.

c)They do watch show independent of each other.

Step-by-step explanation:

Here, as given in the question:

Probability that John watches a certain show  = 0.7   ⇒ P(J) = 0.7

Probability that Jane watches a certain show  = 0.3   ⇒ P(Je) = 0.3

Probability that John watches a certain show given Jane watches it to

 = 0.4   ⇒ P(J/Je) = 0.4

a. )  Here, we need to find the probability of  both Jane and John watching a show , P(J∩Je)

Now, by BAYES THEOREM:

P(J/Je)  = \frac{P(J \cap Je)}{P(Je)}

\implies  0.4  = \frac{P(J \cap Je)}{0.3} \\\implies P(J \cap Je) = 0.4 \times 0.3  = 0.12

Hence the probability  that both John and Jane watch the show is 0.12.

b.) The probability that Jane watches the show, given that John does is P(J/Je)

By BAYES Theorem:

P(Je/J)  = \frac{P(J \cap Je)}{P(J)}\\\implies P(Je/J)  = \frac{0.12}{0.7}  = 0.1714

Hence, the probability that Jane watches the show, given that John does is  0.1714.

c) As we can see P(Jane ∩ John) =  0.12

So, the probability of both of them seeing the show TOGETHER is 0.12.

Hence, they do watch show independent of each other and the probability of doing that is 1.0.12  = 0.88

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3 years ago
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