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natulia [17]
3 years ago
14

Explain how proving two triangles congruent can help prove parts of the triangle congruent.

Mathematics
2 answers:
Ierofanga [76]3 years ago
8 0
You can use the CPCTC (Corresponding Parts of Congruent Triangles are Congruent) property. This means that when two triangles are congruent, all the corresponding parts are congruent to each other.

Have an awesome day! :)
g100num [7]3 years ago
3 0
If two triangles are congruent, then everything in the triangle be congruent. If one triangle has an angle of 50, how can the other triangle not have an angle of 50 and not be conguent. Thus if every part of a triangle is congruent, the every individual part is also congruent
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A car travels 420 miles in 6 hours. What is the unit rate?
Semmy [17]

Answer:

70

Step-by-step explanation:

because 70 times 6 equals 420

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3 years ago
Wuts the solution too this problem... <br> 6a+7=13+7a
Mila [183]

Answer:

a= -6

Step-by-step explanation:

3 0
3 years ago
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After the bank cashed a check Maureen wrote for $60, her balance was -$14.The equation b+(-60)=-14 can be used to represent this
dem82 [27]

we are given

b+(-60)=-14

Since, we have to solve for b

b-60=-14

so, we will isolate b ony one side

so, we will add 60 on both sides

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b=-14+60

b=46

so,

Answer:

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5 0
3 years ago
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Under average driving conditions, the life lengths of automobile tires of a certain brand are found to follow an exponential dis
wariber [46]

Answer:

a) P(X>30000)=1-( 1- e^{-\frac{30000}{30000}})=e^{-1}=0.368

b) P(X>30000|X>15000)=P(X>15000)=1-( 1- e^{-\frac{15000}{30000}})=e^{-0.5}=0.607

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

P(X=x)=\lambda e^{-\lambda x}, x>0

And 0 for other case. Let X the random variable that represent "life lengths of automobile tires of a certain brand" and we know that the distribution is given by:

X \sim Exp(\lambda=\frac{1}{30000})

The cumulative distribution function is given by:

F(X) = 1- e^{-\frac{x}{\mu}}

Part a

We want to find this probability:

P(X>30000) and for this case we can use the cumulative distribution function to find it like this:

P(X>30000)=1-( 1- e^{-\frac{30000}{30000}})=e^{-1}=0.368

Part b

For this case w want to find this probability

P(X>30000|X>15000)

We have an important property on the exponential distribution called "Memoryless" property and says this:

P(X>a+t| X>t)=P(X>a)  

On this case if we use this property we have this:P(X>30000|X>15000)=P(X>15000+15000|X>15000)=P(X>15000)

We can use the definition of the density function and find this probability:

P(X>15000)=1-( 1- e^{-\frac{15000}{30000}})=e^{-0.5}=0.607

7 0
3 years ago
Need help!! You can buy 10 yogurts for $6.50. How much would it cost for nine yogurts!?
ahrayia [7]

To solve this problem, you should find the rate --->  cost per yogurt (cost/yogurt)

$6.50/10 yogurts = $0.65/yogurt

It costs $0.65 per yogurt, so you can multiply 9 by $0.65 to find the total cost of 9 yogurt.

9(0.65) = $5.85

6 0
3 years ago
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