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dybincka [34]
3 years ago
8

A new lawn has a perimeter of 278ft. And a width of 64ft. A bag of grass seed will cover 384ft of ground. How many bags of grass

seed are needed to seed the new lawn
Mathematics
1 answer:
Anit [1.1K]3 years ago
7 0

Answer:

13 bags

Step-by-step explanation:

Area of the lawn: A=lw

w= 64 ft

P= 2(l+w)= 278 ft ⇒

  • l= 278/2- 64= 75 ft
  • A= 64*75= 4800 ft²

bags of seed required:

  • 4800/384= 12.5 so 13  full bags needed
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3 square miles

Step-by-step explanation:

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IgorC [24]
Just read what it says not that hard go to the left twice and go up 4 units.

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Find the volume of a cone with a base diameter of 8 cm and a height of 6 cm.
Delvig [45]

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3 years ago
A college basketball player is known to make 80% of his free throws. Over the course of the season, he will attempt 100 free thr
Gnesinka [82]

The probability that the number of free throws he makes exceeds 80 is approximately 0.5000.

The complete question is as below:-

A college basketball player makes 80% of his free throws. Over the course of the season, he will attempt 100 free throws. Assuming free throw attempts are independent, the probability that the number of free throws he makes exceeds 80 is approximate:____________.

A) 0.2000

B) 0.2266

C) 0.5000

D) 0.7734

<h3>What is probability?</h3>

Probability is defined as the ratio of the number of favourable outcomes to the total number of outcomes in other words the probability is the number that shows the happening of the event.

Given that,

A college basketball player makes 80% of his free throws.

Over the course of the season, he will attempt 100 free throws.

Assuming free throw attempts are independent.

We have to determine,

The probability that the number of free throws he makes exceeds 80 is.

According to the question,

P(Make a Throw) = 80% = 0.80

number of free throws n = 100

Binomial distribution:

Mean: n x p = 0.80 x 100 = 80

Then, The standard deviation is determined by using the formula;

\sigma = \sqrt{np(1-P)

  = \sqrt{80\TIMES (1-0.80)

  = \sqrt16

  = 4

Therefore,

To calculate the probability that the number of free throws he makes exceeds 80 we would have to make the following calculation:

P ( x> 80) = 1 - P ( x < 80)

To calculate this value via a normal distribution approximation:

P ( Z < \dfrac{80-80}{4}) = 1-P(Z < 0 ) = 1 - 0.50 = 0.500

Hence, The probability that the number of free throws he makes exceeds 80 is approximately 0.5000.

To know more about probability follow

brainly.com/question/24756209

#SPJ1

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2 years ago
Notacion cientifica de 81,300
VLD [36.1K]

Answer:

hola!!thanks for the fact 81,300 from scientific notation

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