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katrin [286]
3 years ago
12

6.34 1.645 10.3401-0.34 45

Mathematics
1 answer:
Nostrana [21]3 years ago
8 0

Step-by-step explanation:

dude wut r we suppose to do??

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What is the y-intercept, b, of the additive relationship represented by this table?
algol13

Answer:

3

Step-by-step explanation:

First step: Find the slope, Using the Formula y2 - y1 / x2 - x1 =  

6-4=2  3-1=2 then u divde the y/x   2/2=1 So the slope is 1.

Step 2: Use the Slope- Intercept formula, Y=mx+b so 4 = 1(1)+b so 4 = 1 + b

Step 3: subtract 1 on both sides so 4-1=3 1-1=0  so 3 is the Y-Intercept.

3 0
3 years ago
3x
mel-nik [20]

Answer:

x = 25°

Step-by-step explanation:

3x + 2x + x + 30° = 180°

6x + 30° = 180°

6x = 150°

x =25°

=> 3x = 25 * 3 = 75°

=> 2x = 25 * 2 = 50°

=> x + 30° = 25° + 30° = 55°

6 0
3 years ago
I have 1 hundreds, 4 ones, 2 tens, and 1 tenths. What number am I?
DaniilM [7]
Since it reads 1 hundreds, that means 100. 4 ones mean 4 * 1, which is 4. 2 tens means 2 * 10, which is 20. Add those together and you get 124. Where it reads "1 tenth", that means 0.1
Therefore, the number is 124.1 
6 0
3 years ago
Please help me tysm!
Nikolay [14]

Answer:

Z.

Step-by-step explanation:

I wrote down the subject with the number of students. I looked one by one to see if the number of students with the subject matched with the graph.  Then I finally found that the last graph matched with what I written down.

7 0
3 years ago
: A personal computer manufacturer buys 36% of its chips from Japan and the rest from the United St...
meriva

Answer: 0.9862

Step-by-step explanation:

Given : The probability that the chips belongs to Japan: P(J)= 0.36

The probability that the chips belongs to United States : P(U)= 1-0.36=0.64

The proportion of Japanese chips are defective : P(D|J)=0.017

The proportion of American chips are defective : P(D|U)=0.012

Using law of total probability , we have

P(D)=P(D|J)\times P(J)+P(D|U)\times P(U)\\\\\Rightarrow\ P(D)=0.017\times0.36+0.012\times0.64=0.0138

Thus , the probability that chip is defective = 0.0138

Then , the probability that a chip is defect-free=1-0.0138=0.9862

3 0
3 years ago
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