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Katen [24]
2 years ago
9

Evaluate (1/3)^3 answer now

Mathematics
2 answers:
SSSSS [86.1K]2 years ago
5 0
1/27
It’s the same as (1/3)(1/3)(1/3)
valina [46]2 years ago
3 0

Answer:

\frac{1}{27}

Step-by-step explanation:

  • a³ = a . a . a
  • (\frac{a}{b} )^{3} = \frac{a}{b} . \frac{a}{b} . \frac{a}{b}  

So ;

(\frac{1}{3} )^{3} = \frac{1}{3} . \frac{1}{3} . \frac{1}{3}

\frac{1}{3} . \frac{1}{3} . \frac{1}{3} = \frac{1}{27}

Hope this helps ^-^

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Do the sides make a unique triangle or no?
gregori [183]

Answer:

No

Step-by-step explanation:

8 0
3 years ago
Carrie needs to determine the number of tiles that will fit in each row along the back of the shower. If the back of the shower
SVEN [57.7K]
You need to add the dimensions
8 0
3 years ago
2x + 7 = 4 + x solve equation using tables
Alika [10]

Answer:

x=-3

Step-by-step explanation:

2x+7=4+x

2x-x+7=4

x+7=4

x=4-7

x=-3

7 0
3 years ago
Assume a warehouse operates 24 hours a day. Truck arrivals follow Poisson distribution with a mean rate of 36 per day and servic
kirill [66]

The expected waiting time in system for typical truck is 2 hours.

Step-by-step explanation:

Data Given are as follows.

Truck arrival rate is given by,   α  = 36 / day

Truck operation departure rate is given,   β= 48 / day

A constructed queuing model is such that so that queue lengths and waiting time can be predicted.

In queuing theory, we have to achieve economic balance between number of customers arriving into system and that of leaving the system whether referring to people or things, in correlating such variables as how customers arrive, how service meets their requirements, average service time and extent of variations, and idle time.

This problem is solved by using concept of Single Channel Arrival with exponential service infinite populate model.

Waiting time in system is given by,

w_{s} = \frac{1}{\alpha - \beta  }

        where w_s is waiting time in system

                   \alpha is arrival rate described Poission distribution

                   \beta is service rate described by Exponential distribution

w_{s} = \frac{1}{\alpha - \beta  }

w_{s} = \frac{1}{48 - 36 }

w_{s} = \frac{1}{12 } day

w_{s} = \frac{1}{12 }  \times 24  hour        ...it is due to 1 day = 24 hours

w_{s} = 2 hours

Therefore, time required for waiting in system is 2 hours.

           

                   

5 0
3 years ago
Help help help answer
Mars2501 [29]

Answer:

(2,3,4,5)

Step-by-step explanation:

The domain are all real number at x-axis

So the answer is option b (2,3,4,5)

3 0
3 years ago
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