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3 years ago

Which is the best answer for how many word Lucy can type in 27 minutes?

Mathematics

2 answers:

Fiesta28 [93]3 years ago

8 0

Answer:

i need more information to answer this question

Step-by-step explanation:

Alex73 [517]3 years ago

7 0

3,510 words?

At the normal speaking rate of 130 words per minute (wpm), a 27 minutes long speech will have about 3,510 words .

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Brenton’s weekly pay, P(h) , in dollars, is a function of the number of hours he works, h. He gets paid $20 per hour for the fir

iris [78.8K]

Answer:

{h| 0 ≤ h ≤ 60}

Step-by-step explanation:

Next time, please separate the possible answer choices with commas or semi-colons, or put them on separate lines.

The second set says it all: {h| 0 ≤ h ≤ 60}. This guy cannot work more than 60 hours per week, and h cannot be negative.

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3 years ago

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The rectangle shown has a perimeter of 106 cm and the given area. It’s length is 8 more than four times the width. Write and sol

jeka94

Answer:

Step-by-step explanation:

p = 106

L = 8 + 4W

p = 2L + 2W

p = 2(8 + 4W) + 2W

p = 16 + 8W + 2 W

p = 16 + 10W

106 = 16 + 10W

106 - 16 = 10W

90 = 10W

90/10 = W

9 = W

L = 8 + 4W

L = 8 + 4(9)

L = 8 + 36

44 + 44 + 9 + 9 = 106

44 * 9 = Area = 396

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3 years ago

What percent of 50 is 15? A. 0.3% B. 7.5% C. 30% D. 35%

Harrizon [31]

Answer

Step-by-step explanation

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3 years ago

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Which expression is equal to the expression (7•2)^7 a. 9^7 b. 7^7•2^7 c. 7^7 2^7 d. 7•(7•2)

Keith_Richards [23]

$(7\cdot2)^7=7^7\cdot2^7\to\fbox{b.}$

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3 years ago

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Inquiries arrive at a record message device according to a Poisson process of rate 15 inquiries per minute. The probability that

zloy xaker [14]

Answer:

0.0498 = 4.98%

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.

Inquiries arrive at a record message device according to a Poisson process of rate 15 inquiries per minute.

Each minute has 60 seconds.

So a rate of 1 inquire each 4 seconds.

The probability that it takes more than 12 seconds for the first inquiry to arrive is approximately

Mean of 1 inquire each 4 seconds, so for 12 seconds $\mu = \frac{12}{4} = 3$

This probability is P(X = 0).

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

$P(X = 0) = \frac{e^{-3}*3^{0}}{(0)!} = 0.0498$

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3 years ago