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yawa3891 [41]
3 years ago
5

Please help with this question it’s freaking me out

Mathematics
1 answer:
SashulF [63]3 years ago
8 0

Answer:

20 cm²

Step-by-step explanation:

see picture. count the number of squares.

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Answer all five questions below
Svetach [21]

Answer:

use a calculator

Step-by-step explanation:

there for question b

6 0
3 years ago
Dylan and three of his friends went to dinner at Texas Roadhouse. The cost of the meal was $41.56. If they split the bill equall
Volgvan
Each person would pay 10.39 a piece
5 0
3 years ago
When multiplying an inequality by a negative number, make sure to flip the inequality sign.
timama [110]

Answer:

the answer is false but when it is divided by a negative number then you flip the inequality sign

3 0
3 years ago
M is proportional to the cube of r. when r=3m,m=216.when r=5 find the value of m
klio [65]

Answer:

The value of m is 1000 for r=5

Step-by-step explanation:

Given that m is proportional to the cube of r

It can be written as:

m \propto\ r^3

When the proportionality symbol is removed a proportionality constant is introduced in the equation.

Let k be the proportionality constant

m = kr^3

Given

r=3,m=216

Putting the values

216 = k(3)^3\\216 = k * 27\\k = \frac{216}{27}\\k = 8

The equation will now become

m = 8r^3

Putting r = 5

m = 8(5)^3\\m = 8 * 125\\m = 1000

Hence,

The value of m is 1000 for r=5

7 0
3 years ago
Suppose that the current measurements in a strip of wire are assumed to follow a normal distribution with a mean of 10 millimete
KiRa [710]

Answer: the probability that a measurement exceeds 13 milliamperes is 0.067

Step-by-step explanation:

Suppose that the current measurements in a strip of wire are assumed to follow a normal distribution, we would apply the formula for normal distribution which is expressed as

z = (x - µ)/σ

Where

x = current measurements in a strip.

µ = mean current

σ = standard deviation

From the information given,

µ = 10

σ = 2

We want to find the probability that a measurement exceeds 13 milliamperes. It is expressed as

P(x > 13) = 1 - P(x ≤ 13)

For x = 13,

z = (13 - 10)/2 = 1.5

Looking at the normal distribution table, the probability corresponding to the z score is 0.933

P(x > 13) = 1 - 0.933 = 0.067

6 0
3 years ago
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