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Sonja [21]
3 years ago
10

1+4=52+3=1010+5=254+1?​

Mathematics
2 answers:
tia_tia [17]3 years ago
8 0

Answer:

8

Step-by-step explanation:

malfutka [58]3 years ago
5 0
The puzzle is
1+1(4)
2+2(3)
etc
so 4+1 = 8
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This is an answer not a question btw if u have this same question<br> 4 2/3 divided by 1/2 = 9 1/3
Reika [66]
Thanks for the answer
7 0
3 years ago
Add.<br> (8y + 6) + (4y + 5)<br> Submit
Inga [223]

Answer:

12y + 11

Step-by-step explanation:

To add them you would add like terms. That means you would add those with y together and those without together.

8y + 4y + 6 + 5 = 12y + 11

If you want to solve for y, subtract 11 from both sides then divide both sides by 12.

6 0
3 years ago
Read 2 more answers
How do you do this question?
ankoles [38]

Step-by-step explanation:

S = ∫ 2π y ds

ds = √(1 + (dx/dy)²) dy

ds = √(1 + (8y)²) dy

ds = √(1 + 64y²) dy

S = ∫₁² 2π y √(1 + 64y²) dy

S = π/64 ∫₁² 128y √(1 + 64y²) dy

S = π/64 [⅔ (1 + 64y²)^(³/₂)] |₁²

S = π/96 (1 + 64y²)^(³/₂) |₁²

S = π/96 (1 + 256)^(³/₂) − π/96 (1 + 64)^(³/₂)

S = π/96 (257√257) − π/96 (65√65)

S = π/96 (257√257 − 65√65)

3 0
3 years ago
What is the slope of the line whose equation is 12=4x-6y ?
IrinaK [193]

the slope would be -2/3 hope this helps


8 0
3 years ago
Read 2 more answers
4. Why studying central tendency alone is insufficient and calculating dispersion is always needed in both descriptive and infer
ira [324]

Answer:

Check below for the answer and explanation.

Step-by-step explanation:

Studying the central tendency alone is not sufficient because apart from calculating the value of the central point of a group of data ( which is what the measure of central tendency does), it is important to also understand the spread of these data about the average(mean) value.The measure of dispersion will help us to know the range of error that is recorded in both descriptive and inferential statistics and this will enable the statistician to assess the validity of the data generated from the experiment performed.

A small value of standard deviation indicates that each of the values in the dataset is close to the average (mean) value.

4 0
3 years ago
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