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GREYUIT [131]
4 years ago
7

Distributive property the answer to 3(t-2)

Mathematics
1 answer:
AfilCa [17]4 years ago
6 0
The answer is 3t-6 this is done by taking the 3 and multiplying it by t and -2 there for making it 3t-6
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Help please I'm stuck once again?​
Llana [10]

Answer:

The probe's final position is -143m

Step-by-step explanation:

Note that the words 'lowered' and 'below' mean subtract; while the word 'raised' means add. Thus, interpreting the statement to mathematical expression is done below.

- 90m + 50m - 138m + 35m

=  - 143m

Therefore, the probe's final position is -143m. Hence, the sensor is 143m below the sea level.

5 0
3 years ago
9. Select all expressions that are
Kruka [31]

Answer:

Step-by-step explanation:

2(9a - 6) = 2*9a - 2*6 = 18a - 12    

Yes, it is equivalent.

6*(3a-2) = 6*3a - 6*2 = 18a - 12

Yes, it is equivalent.

-3(6a+4)= -3*6a + 4*(-3) = -18a - 12

No, not equivalent

3(6a+4) = 3*6a + 3*4 = 18a + 12

No, not equivalent

-3(4-6a) = -3*4  - 6a*(-3 )  = -12 + 18a = 18a - 12

Yes, it is equivalent.

7 0
3 years ago
Read 2 more answers
Please Help.............
wolverine [178]

Step-by-step explanation:

there is a right ∆ and a sector

area of right ∆ = .5×6×5 = 15 cm^2

area of sector = angle/360 * π * r^2

= 1/4 * π * 25 = 19.63 cm^2

area of the shape = 34.63 cm^2

5 0
3 years ago
Assume that the number of customers who arrive at a water ice stand follows the Poisson distribution with an average rate of 6.4
Nady [450]

Answer:

18.88% probability that three or four customers will arrive during the next 30 minutes

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given time interval.

Average rate of 6.4 per 30 minutes.

This means that \mu = 6.4

What is the probability that three or four customers will arrive during the next 30 minutes?

P = P(X = 3) + P(X = 4)

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 3) = \frac{e^{-6.4}*(6.4)^{3}}{(3)!} = 0.0726

P(X = 4) = \frac{e^{-6.4}*(6.4)^{4}}{(4)!} = 0.1162

P = P(X = 3) + P(X = 4) = 0.0726 + 0.1162 = 0.1888

18.88% probability that three or four customers will arrive during the next 30 minutes

4 0
4 years ago
Simply: 1.062 + 6( 3.4 - 4.3m )
wel
If it's just simplifying the equation then the answer is:
-4.338
7 0
4 years ago
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