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Natasha_Volkova [10]
3 years ago
8

5/d^-3. rewrite so its a positive exponent. the answer is 5d^3 but idk why.

Mathematics
1 answer:
Evgesh-ka [11]3 years ago
3 0
You are changing the sign on one so to keep an equilibrium you change the other sign too
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Which number is the additive inverse of 47? Hi. SI56 -47 1 W om 04​
Anvisha [2.4K]

Answer:

4 \frac{1}{4}

Step-by-step explanation:

The additive inverse is the value that must be added to the number to give zero.

- 4 \frac{1}{4} + 4 \frac{1}{4} = 0

           ↑ additive inverse

5 0
2 years ago
Zero and negative exponentswrite in simplest for without zero or negative exponents- 17 ⁰
Valentin [98]
-17^0=(-17)^0=1\begin{gathered} (-2)^2\times(-2)^{-5}=(-2)^{2-5} \\ =(-2)^{-3} \\ =\frac{1}{(-2)^3} \\ =\frac{1}{-8} \end{gathered}

Thus, the final answers are 1 and -1/8.

4 0
11 months ago
Tom went to a shop where there was a 20% off sale taking place
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Find 20 percent of $20 by multiplying 0.20 x20

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7 0
2 years ago
30 points and brainliest help me out please. 5th grade
Tatiana [17]

Answer:

Step-by-step explanation:

a,a, and a

8 0
3 years ago
A professor receives, on average, 24.7 emails from students the day before the midterm exam. To compute the probability of recei
MaRussiya [10]

Answer:

Let X the random variable that represent the number of emails from students the day before the midterm exam. For this case the best distribution for the random variable X is X \sim Poisson(\lambda=24.7)

The probability mass function for the random variable is given by:

f(x)=\frac{e^{-\lambda} \lambda^x}{x!} , x=0,1,2,3,4,...

The best answer for this case would be:

C. Poisson distribution

Step-by-step explanation:

Let X the random variable that represent the number of emails from students the day before the midterm exam. For this case the best distribution for the random variable X is X \sim Poisson(\lambda=24.7)

The probability mass function for the random variable is given by:

f(x)=\frac{e^{-\lambda} \lambda^x}{x!} , x=0,1,2,3,4,...

And f(x)=0 for other case.

For this distribution the expected value is the same parameter \lambda

E(X)=\mu =\lambda

And for this case we want to calculate this probability:

P(X \geq 10)

The best answer for this case would be:

C. Poisson distribution

5 0
3 years ago
Read 2 more answers
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