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svet-max [94.6K]
3 years ago
11

Please help me :( Due today

Mathematics
1 answer:
Yuri [45]3 years ago
6 0

Answer:

Step-by-step explanation: cone, square pyramid

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The sum of 7 and 2 is 8
BabaBlast [244]

Answer:

We can introduce a variable ( a letter representing an unknown ) to help us solve this question.

Let χ = "a number..."

We can rewrite the sentence in the following way:

7( χ + 2 ) = 8

To solve for χ , we can first distribute 7:

7 ∗ χ + 7∗(2) = 8

7χ + 14 = 8 ⇐ since 7 times 2 is 14

Let's get χ by itself first. We do so by subtracting 14 from both sides of the equation:

7χ + 14 - 14 = 8 - 14

7χ + 0 = -6 ⇐

7χ = -6 ⇐

The last number in our way is that 7. Let's divide both sides by 7 ( which is the same as multiplying both sides by 1 / 7 ) to figure out what χ is:

7χ ∗ ( 1 / 7 ) = -6 ∗ ( 1 / 7 )

χ ∗ ( 7 / 7 ) = - 6 / 7 ⇐

χ ∗ ( 1 ) = - 6 / 7 ⇐

χ = - 6 / 7

Therefore ( we can also use ∴ to represent the word "therefore" ) our number in question is  -6 / 7

Step-by-step explanation:

4 0
3 years ago
Find the y- intercept of the following equation. simplify your answer. y=9x+6
pashok25 [27]
0,6 is the y intercept
3 0
3 years ago
A number is multiplied by 3. If 1 is added to<br> the product, you get 4. What is the number?
Murljashka [212]

Step-by-step explanation:

w×3+1

3w+1=4

3w=4-1

3w=3

w=1

7 0
3 years ago
1=n+1/3 (please show your work!)
lubasha [3.4K]
N is 2/3 because 1 minus 1/3 is 2/3
3 0
4 years ago
Read 2 more answers
Suppose that the number of drivers who travel between a particular origin and destination during a designated time period has a
Bumek [7]

Answer:

0.381 is the probability that the number of drivers will be at most 18.                          

Step-by-step explanation:

We are given the following information in the question:

The number of drivers who travel between a particular origin and destination during a designated time period has a Poisson distribution with parameter μ = 20.

  • The Poisson distribution is the discrete probability distribution of the number of events occurring in a given time period, given the average number of times the event occurs over that time period.
  • The variance of Poisson distribution is equal to the mean of Poisson distribution.

a) P(number of drivers will be at most 18)

Formula:

P(X =k) = \displaystyle\frac{\mu^k e^{-\mu}}{k!}\\\\ \mu \text{ is the mean of the distribution}

P( x \leq 18) =P(x=0) + P(x =1) + P(x = 2) + ... + P(x = 18)\\\\= \displaystyle\frac{20^0 e^{-20}}{0!} + \displaystyle\frac{20^1 e^{-20}}{1!} +...+ \displaystyle\frac{20^{18} e^{-20}}{18!}\\\\ = 0.381

Thus, 0.381 is the probability that the number of drivers will be at most 18.

3 0
4 years ago
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