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Sliva [168]
3 years ago
12

Help please

Mathematics
1 answer:
Mademuasel [1]3 years ago
8 0
If Triangle ABC is similar to triangle DEF, then ∠A is congruent to ∠D, ∠B is congruent to ∠E, and ∠C is congruent to ∠F.

If ∠E = 40°, then ∠B = 40°.

There are 180° in a triangle. If ∠A = 35° and ∠B = 40°, then ∠C = 180° - 35° - 40°.

180 - 35 - 40 = 105°
m∠C = 105°
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Please answer this correctly
zloy xaker [14]

Answer:

100%

Step-by-step explanation:

First, let's determine the probability for each of the conditions.

For P(greater than 2), we will have the cards 3, 4, 5, 6, 7, and 8.

For P(less than 3), we will have the cars 2.

In other words, every single card fits the conditions.

Thus, P(greater than 2 or less than 3)=7/7=100%

100%

8 0
3 years ago
Read 2 more answers
A water canal has a rectangular cross section 3 meters wide and 2 meters deep. How much water is contained in a 30-meter length
Alex
Basically you are finding the volume of a rectangular prism of 3 by 2 meters cross section and 30 meters length.  Volume = (3 m)(2 m)(30 m) = 180 cubic meters.

If 60% of the water has evaporated, 40% is left.  Find 40% of 180 cubic meters to answer the 2nd part of this question.
5 0
4 years ago
Solve for y.<br> 5(y+5)=-7(2y-1) + 7y
scZoUnD [109]

Answer: y=1.5

Step-by-step explanation: Isolate the variable by dividing each side by factors that don’t contain the variable.

4 0
4 years ago
What is 3x+4=16 <br> what is the value of x=
stiv31 [10]

Answer:

4

Step-by-step explanation:

3x+4=16

-4       -4

3x=12

3/3   12/3

4

7 0
3 years ago
Michael Beasley is shooting free throws. Making or missing free throws doesn't change the probability that he will make his next
Elodia [21]

Answer: C.  0.75^4

Step-by-step explanation:

Let x be the binomial variable that denotes the number of makes.

Since each throw is independent from the other throw , so we can say it follows Binomial distribution .

So X\sim Bin(n=4 , p=0.75)

Binomial distribution formula: The probability of getting x success in n trials :

P(X=x)=^nC_xp^n(1-p)^{n-x} , where p = probability of getting success in each trial.

Then, the probability of Michael Beasley making all of his next 4 free throw attempts will be :

P(X=4)=^4C_4(0.75)^4(1-0.75)^{0}

=(1)(0.75)^4(1)\ \ [\because\ ^nC_n=1]\\\\=(0.75)^4

Thus, the probability of Michael Beasley making all of his next 4 free throw attempts is =0.75^4

Hence, the correct answer is C.  0.75^4.

4 0
3 years ago
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