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Scilla [17]
3 years ago
14

Areas of squares whose perimeter is 0.4.​

Mathematics
2 answers:
skad [1K]3 years ago
6 0

Answer:

A≈0.01

Step-by-step explanation:

I hope this helps, I just looked it up l.m.a.o

asambeis [7]3 years ago
3 0

Answer:

0.16cm squared

Step-by-step explanation:

area is base times height

the base and height of a square is equal

so it would be 0.4 times 0.4

please mark as brainliest!!!<3

You might be interested in
A number x decreased by 3 is 5​
zysi [14]

Answer:

8

Step-by-step explanation:

x - 3 = 5

x = 5 + 3

x = 8

Therefore, the number is 8.

5 0
2 years ago
Five years ago I was 5 times older than my son. In 8 years’ time I will be 3 times older than my son. How old am I today?
o-na [289]

Let x = Parent's age now  y = son's age now

Then, x-5 = parent's age five years ago

        y-5 = son's age five years ago

     So, x-5 = 5(y-5)

          Simplify to get x - 5y = -20

Parent's age 8 years from now = x+8

Son's age 8 years from now = y+8

    So, x+8 = 3(y+8)

           Simplifying, we have x - 3y = 16

We have the system of equations:  x - 5y = -20

                                                  x - 3y = 16

Subtract the equations to obtain -2y = -36

                                                  y = 18

                                                  x = 70

Parent is 70 years old and the son is 18 years old.  

6 0
3 years ago
Read 2 more answers
Suppose 10000 people are given a medical test for a disease. About1% of all people have this condition. The test results have a
Alina [70]

Answer:

The percent of the people who tested positive actually have the disease is 38.64%.

Step-by-step explanation:

Denote the events as follows:

<em>X</em> = a person has the disease

<em>P</em> = the test result is positive

<em>N</em> = the test result is negative

Given:

P(X)=0.01\\P(P|X^{c})=0.15\\P(N|X)=0.10

Compute the value of P (P|X) as follows:

P(P|X)=1-P(P|X^{c})=1-0.15=0.85

Compute the probability of a positive test result as follows:

P(P)=P(P|X)P(X)+P(P|X^{c})P(X^{c})\\=(0.85\times0.10)+(0.15\times0.90)\\=0.22

Compute the probability of a person having the disease given that he/she was tested positive as follows:

P(X|P)=\frac{P(P|X)P(X)}{P(P)}=\frac{0.85\times0.10}{0.22} =0.3864

The percentage of people having the disease given that he/she was tested positive is, 0.3864 × 100 = 38.64%.

3 0
3 years ago
Help asap plssssss, brainliest given!!
artcher [175]

Answer:

y=  1500x = 29690

y=# of movie screens

x= years after 1996

Step-by-step explanation:

3 0
3 years ago
Solve for x : Y=3x- 8<br> Y=-4x+6
LenaWriter [7]
3X-8=-4X+6 7X-8=6 7X=14 X=14\7=2
8 0
2 years ago
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