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Fynjy0 [20]
3 years ago
13

A triangular prism has a Surface Area of 48.735 km2. The base of the prism is a triangle with a height of 3 and an unknown base.

The distance between the bases of the prism is 12 km. Find the measure of the base of the triangle.
Choices: 4.8 ;  3.9 ;  2.5 ;  3.46
Mathematics
1 answer:
Leona [35]3 years ago
3 0

<span>we assume that the triangle of the base is equilateral, the three sides are equal</span>

we know that

[surface area of the prism]=2*[area of the base]+perimeter of the base*height 
surface area=48.735 km²
height=12 km

area of the base=b*h/2-----> area of the triangle

b is t<span>he measure of the base of the triangle
h=3 km
area of the base=3*b/2 km</span>²

perimeter of the triangle=3*b

48.735=2*[3*b/2]+3*b*12-----> 48.735=3*b+36*b----> 48.735=39*b
b=48.735/39-----> b=1.25 km

the answer is
T<span>he measure of the base of the triangle is 1.25 km</span>
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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

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