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kifflom [539]
3 years ago
9

In the expression 3y•10 what is coefficient

Mathematics
1 answer:
sertanlavr [38]3 years ago
3 0

Answer:

3

Step-by-step explanation:

A coefficient is a numerical factor that contains a variable.

In this case, 3 is a numerical factor and contains a variable (y).

Hence,

3 is the coefficient of the expression.

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PLEASE HELP!!!!!!!!!!!! whoever answers first will get brainliest
djverab [1.8K]

The first answer: you have to 560-200 which equals 360 then divide by 45 which equals 8 so your answers 8

The second answers: first 6.91- 1.45= 5.46 then take 5.46 and divide by 0.42 which equals 13 so your answers 13

7 0
4 years ago
A 10-foot ladder is leaning against a wall. The base of the ladder is 2 feet from the base of the building. How far up the build
Svetlanka [38]
We can see on this graph that the triangle has legs of x and 6 with a hypotenuse of 10 and we can use Pythagoreans theorem to find the unknown side.
Pythagoreans theorem: a^2+b^2=c^2, where a and b are the legs of the triangle and c, is the hypotenuse 

x^2+6^2=10^2 Plugin a=x, b=6, and c=10. Now let us solve for x 

x^2+36=100 Square each individual term 

x^2+=100+36 Subtract 36 from both sides 

x^2=64 Combine like terms 

sqrt(2)=sqrt(64) Take the square root of both sides 

x = 8 Simplify the square root 

So our answer is x = 8 
The ladder touches the 8 feet mark on the wall.
5 0
3 years ago
Ax+3 = 7- bx what is x expressed in terms of a and b
krek1111 [17]
Ax+3=7-bx
Ax=4-bx
 A=4-bx/x

Ax+3=7-bx
Ax-4= -bx
Ax-4/x= -b
-Ax+4/x=b
b= -Ax+4/x
6 0
3 years ago
What can go into 10.8 and 36
Neko [114]
36:  4 ,9
10.8: 2,4
 Hope this helps!! ;D
3 0
3 years ago
Read 2 more answers
A polygraph (lie detector) is an instrument used to determine if an individual is telling the truth. These tests are considered
Leya [2.2K]

Answer:

A) P(Type I error) = 0.045

B) P(Type II) error = 0.1

Step-by-step explanation:

We are told that the reliability of the test is 90% reliable.

Also, we are told that the probability that the test erroneously detects a lie even when the individual is actually telling the truth is 0.045.

Thus;

A) To calculate the probability of type I error:

From statistics, in this question we can say that the probability of a type I error is the probability that the test will erroneously detect a lie even though the individual is actually telling the truth. Thus;

Probability of (type I error) = P(rejecting true null) = 0.045

B) For probability of type II error, it is defined as the error where we accept a null hypothesis that is false. We can say that it produces a false negative and the formula is;

P(Type II) error = 1 - reliability

Reliability in the question is 0.90

Thus;

P(Type II) error = 1 - 0.9

P(Type II) error = 0.1

3 0
3 years ago
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