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marysya [2.9K]
3 years ago
12

If a driver takes 6 hours to get to the town market which is 336 km away from his house, what is his average speed?

Mathematics
1 answer:
aev [14]3 years ago
3 0

Answer:

56\ \text{km/h}

Step-by-step explanation:

t = Time taken = 6\ \text{hours}

d = Distance = 336\ \text{km}

Average speed is given by

s=\dfrac{\text{Distance}}{\text{Time}}=\dfrac{d}{t}

\Rightarrow s=\dfrac{336}{6}

\Rightarrow s=56\ \text{km/h}

The average speed of the driver is 56\ \text{km/h}.

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Answer:

y = 20

Step-by-step explanation:

-3y+12 = -48 .        -12 from both sides

-3y = -60 .              ÷3 on both sides

y = 20

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5) The perimeter of the given square is 56cm. Construct an equation and hnd
Shtirlitz [24]

Answer:

side = 14 cm

Step-by-step explanation:

Let 'x' be the side of the square.

Perimeter = 4 * side

                = 4*x

                = 4x

4x = 56

Solution:

4x = 56

Divide both sides by 4

x = 56/4

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I am not sure i need more information

Step-by-step explanation:

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What is <br>(2x3) x6+17-4=
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6x6+17-4
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An operation manager at an electronics company wants to test their amplifiers. The design engineer claims they have a mean outpu
andreyandreev [35.5K]

Answer:

The probability that the mean amplifier output would be greater than 364.8 watts in a sample of 52 amplifiers is 0.3156

Step-by-step explanation:

Mean output of amplifiers = 364

Standard deviation = \sigma = 12

We have to find the probability that the mean output for 52 randomly selected amplifiers will be greater than 364.8. Since the population is Normally Distributed and we know the value of population standard deviation, we will use the z-distribution to solve this problem.

We will convert 364.8 to its equivalent z-score and then finding the desired probability from the z-table. The formula to calculate the z-score is:

z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n} } }

x=364.8 converted to z score for a sample size of n= 52 will be:

z=\frac{364.8-364}{\frac{12}{\sqrt{52} } }=0.48

This means, the probability that the output is greater than 364.8 is equivalent to probability of z score being greater than 0.48.

i.e.

P( X > 364.8 ) = P( z > 0.48 )

From the z-table:

P( z > 0.48) = 1 - P(z < 0.48)

= 1 - 0.6844

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Since, P( X > 364.8 ) = P( z > 0.48 ), we can conclude that:

The probability that the mean amplifier output would be greater than 364.8 watts in a sample of 52 amplifiers is 0.3156

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4 years ago
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