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alukav5142 [94]
4 years ago
12

What is 846÷3 equal to using distributive property?

Mathematics
2 answers:
leva [86]4 years ago
6 0
(840)+6 divided by 3=282

Hope that helped:)
docker41 [41]4 years ago
3 0
3(282/1) should be what you are lookin for
You might be interested in
In the matrix equation below, what are the values of x and y?
Karo-lina-s [1.5K]

Answer:

The value of x = 5 and y = 2

The correct answer is last option

Step-by-step explanation:

From the figure we can see that, subtraction of two matrices.

The resultant matrix shows the corresponding terms difference.

<u>To find the value of x</u>

1/2(x + 3) - (3*(-1)) = 7

x/2 + 3/2 +3 = 7

x/2 +3/2 = 7 - 3 = 4

x + 3 = 8

x = 8 - 3 = 5

x = 5

<u>To find the value of y</u>

8/2  -3 (y +1) = -5

4 - 3(y +1)/ = -5

3(y +1)  = 4 + 5  = 9

y + 1 = 9 / 3 = 3

y = 3 - 1 = 2

Therefore the value of x = 5 and y = 2

The correct answer is last option

4 0
4 years ago
I really need help with this dividend thing. Plz help ASAP
dimaraw [331]

Answer:

45.26

Step-by-step explanation:

36.50 \times 73 = (2664.5) \div 50  \\ = 53.29

53.29 \times 62 = (3303.98) \div 73 \\  = 45.26

4 0
3 years ago
60in in feet <br> Pls help fast !
PolarNik [594]

Answer:

5 feet

Step-by-step explanation:

Divide 60 inches by 12

Your answer is 5 feet.

Hope this helped :)

6 0
3 years ago
Find the sum of the first 30 terms of the sequence below. an=4n+1
dmitriy555 [2]
That would be 1,890.
6 0
3 years ago
Read 2 more answers
Suppose the number of messages that an inbox receives may be modeled by a Poisson distribution. If the average number of message
docker41 [41]

Answer:

0.36427

Step-by-step explanation:

Mean = λ = 18 messages per hour

P(X = x) = (e^-λ)(λ⁻ˣ)/x!

P(X ≤ x) = Σ (e^-λ)(λ⁻ˣ)/x! (Summation From 0 to x)

But the probability required is that the messages thay come in an hour is between 15 and 20, that is, P(15 < X < 20)

P(15 < X < 20) = P(X < 20) - P(X ≤ 15)

These probabilities will be evaluated using a cumulative frequency calculator.

P(X < 20) = 0.65092

P(X ≤ 15) = poissoncdf(18, 15) = 0.28665

P(15 < X < 20) = P(X < 20) - P(X ≤ 15) = 0.65092 - 0.28665 = 0.36427.

You can use the Poisson distribution calculator here

https://stattrek.com/online-calculator/poisson.aspx

4 0
3 years ago
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