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stepladder [879]
2 years ago
10

Two sides of a triangle are exactly the Same length. The length of the third side is four cm shorter than the two equal sides. F

ind the length of each side if the perimeter of the triangle is 41 cm​
Mathematics
1 answer:
liubo4ka [24]2 years ago
3 0

Answer:

15 cm, 15 cm, 11 cm

Step-by-step explanation:

let the equal sides be x then the third side is x - 4

The perimeter is the sum of the 3 sides and is 41 cm , then

x + x + x - 4 = 41

3x - 4 = 41 ( add 4 to both sides )

3x = 45 ( divide both sides by 3 )

x = 15

x - 4 = 15 - 4 = 11

The sides are 15 cm, 15 cm, 11 cm

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Answer:

oh hey I gotchu-

first of all you are gonna make that into two rectangle by slicing the top off if that makes sense so you now have a large rectangle (11×12) and a small one (3×8) now you use the area formula for rectangles base×height so the small one becomes (3×8)=24 and the large one is (11×12)=132. now to make them into one shape for the total area you add those two values 132+24=156 so your total area is 156m²

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3 years ago
How do i find the sum or difference of this fraction
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3 years ago
tom was using wire of the following thicknesses .33mm , .275mm, .25mm, .3mm for some electrical work. order the wire from thicke
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3 years ago
Suppose that a college determines the following distribution for X = number of courses taken by a full-time student this semeste
lidiya [134]

Answer:

E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74In order to find the variance we need to calculate first the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36And the variance is given by:

Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924

And the deviation would be:

Sd(X) =\sqrt{0.8924} =0.9447

Step-by-step explanation:

Previous concepts

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).  

Solution to the problem

For this case we have the following distribution given:

X          3      4       5        6

P(X)   0.07  0.4  0.25  0.28

We can calculate the mean with the following formula:

E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74

In order to find the variance we need to calculate first the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36

And the variance is given by:

Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924

And the deviation would be:

Sd(X) =\sqrt{0.8924} =0.9447

3 0
3 years ago
The person who answes my question can u stay because i have more thankyou
castortr0y [4]

Answer:

c. 60 mins

Step-by-step explanation:

12 * 5 = 60

15 * 4 = 60

5 0
3 years ago
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