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joja [24]
3 years ago
3

With which set of information can you construct a unique triangle? A. the measurements of all the angles B. the lengths of two s

ides C. the measurements of two angles D. the lengths of all the sides E. the measurement of one angle
Mathematics
2 answers:
Zigmanuir [339]3 years ago
8 0

Answer:

  D.  the lengths of all the sides

Step-by-step explanation:

Consider the triangle congruence theorems. They are abbreviated ...

  • SSS
  • SAS
  • ASA
  • AAS
  • HL (right triangle only)

Matching these with the offered choices, you find that SSS (the lengths of 3 sides) is the only one that compares. The other offered choices are insufficient to completely define a unique triangle.

___

Two or three angles will define a triangle, but not one that is unique. The size of it is not determined by the angles alone.

Agata [3.3K]3 years ago
7 0

Answer:

D.Is the correct answer

Step-by-step explanation:

<3 :D ( :

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k0ka [10]

Answer:

f1 ( x ) valid pdf . f2 ( x ) is invalid pdf

k = 1 / 18 , i ) 0.6133 , ii ) 0.84792

Step-by-step explanation:

Solution:-

A) The two pdfs ( f1 ( x ) and f2 ( x ) ) are given as follows:

                     

- To check the legitimacy of a continuous probability density function the area under the curve over the domain must be equal to 1. In other words the following:

                   

- We will perform integration of each given pdf as follows:

                   

                   

Answer: f1 ( x ) is a valid pdf; however, f2 ( x ) is not a valid pdf.

B)

- A random variable ( X ) denotes the resistance of a randomly chosen resistor, and the pdf is given as follows:

                       if  8 ≤ x ≤ 10

                               0  otherwise.

- To determine the value of ( k ) we will impose the condition of validity of a probability function as follows:

                     

- Evaluate the integral as follows:

                     ... Answer

- To determine the CDF of the given probability distribution we will integrate the pdf from the initial point ( 8 ) to a respective value ( x ) as follows:

                     

To determine the probability p ( 8.6 ≤ x ≤ 9.8 ) we will utilize the cdf as follows:

                   p ( 8.6 ≤ x ≤ 9.8 ) = F ( 9.8 ) - F ( 8.6 )

                   p ( 8.6 ≤ x ≤ 9.8 ) =

ii) To determine the conditional probability we will utilize the basic formula as follows:

               p ( x ≤ 9.8  | x ≥ 8.6 ) = p ( 8.6 ≤ x ≤ 9.8 ) / p ( x ≥ 8.6 )

               p ( x ≤ 9.8  | x ≥ 8.6 ) = 0.61333 / [ 1 - p ( x ≤ 8.6 ) ]

               p ( x ≤ 9.8  | x ≥ 8.6 ) = 0.61333 / [ 1 - 0.27666 ]

               p ( x ≤ 9.8  | x ≥ 8.6 ) = 0.61333 / [ 0.72333 ]

               p ( x ≤ 9.8  | x ≥ 8.6 ) = 0.84792 ... answer

Hope it helps! ;)

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3 years ago
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wlad13 [49]

Answer:

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<em />

<em />

Step-by-step explanation:

6 0
3 years ago
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Talja [164]

Answer:

Step-by-step explanation:

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The first step is to find the proportionality constant.

The formula is

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k = 16/4

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=================================

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