All categories

3 years ago

A table has an area of 12 and a perimeter of 16 ft. What are the dimensions of the table?

Mathematics

2 answers:

Ivenika [448]3 years ago

7 0

l=6

w=2

Area=lw

Area=6×2

area=12

perimeter=2(l+w)

perimeter=2(6+2)

perimeter=2×8

perimeter=16

Mark brianliest if my answer suit your question.

pav-90 [236]3 years ago

3 0

Answer:

2 feet by 6 feet

Step-by-step explanation:

L x b is 12

l x 12/b

perimiter is 16

2 (l plus b) is 16

l plus b is 8

12/b plus b is 8

B² - 8b plus 12 is 0

B2 - 6B- 2b plus 12 is 0

(b- 2) (b-6) is 0

B-2 is 0 and b-6 is 0

B Is 2,6

L = 12/2 is 6

L = 12/6 is 2

so is 2,6

You might be interested in

12). In 1991, there were an estimated 235 fish in a lake. In 1996, there were 134

weqwewe [10]

Answer:bless you

Step-by-step explanation:

4 0

3 years ago

Which represents an exterior angle of triangle ABF? ∠BAD ∠AFE ∠CAD ∠CAB

il63 [147K]

Answer: it is <CAB

Step-by-step explanation: i just took a test on ed and passed with a 100%

4 0

3 years ago

Read 2 more answers

Determine whether a probability distribution is given. If a probability distribution is given, find its mean and standard deviat

drek231 [11]

Answer:

$E(X) = \sum_{i=1}^n X_i P(X_i) = 0*0.031 +1*0.156+ 2*0.313+3*0.313+ 4*0.156+ 5*0.031 = 2.5$

We can find the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 0^2*0.031 +1^2*0.156+ 2^2*0.313+3^2*0.313+ 4^2*0.156+ 5^2*0.031 =7.496$

And we can calculate the variance with this formula:

$Var(X) =E(X^2) -[E(X)]^2 = 7.496 -(2.5)^2 = 1.246$

And the deviation is:

$Sd(X) = \sqrt{1.246}= 1.116$

Step-by-step explanation:

For this case we have the following probability distribution given:

X 0 1 2 3 4 5

P(X) 0.031 0.156 0.313 0.313 0.156 0.031

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).

We can verify that:

$\sum_{i=1}^n P(X_i) = 1$

And $P(X_i) \geq 0, \forall x_i$

So then we have a probability distribution

We can calculate the expected value with the following formula:

$E(X) = \sum_{i=1}^n X_i P(X_i) = 0*0.031 +1*0.156+ 2*0.313+3*0.313+ 4*0.156+ 5*0.031 = 2.5$

We can find the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 0^2*0.031 +1^2*0.156+ 2^2*0.313+3^2*0.313+ 4^2*0.156+ 5^2*0.031 =7.496$

And we can calculate the variance with this formula:

$Var(X) =E(X^2) -[E(X)]^2 = 7.496 -(2.5)^2 = 1.246$

And the deviation is:

$Sd(X) = \sqrt{1.246}= 1.116$

6 0

3 years ago

What is 3,960 in a fraction

Alecsey [184]

Answer: 396/100

Step-by-step explanation:

8 0

3 years ago

The temperature was 14`°F`. If the temperature dropped 5 degrees every hour for 4 hours, what is the temperature after the 4 hou

Nina [5.8K]

Answer:

-6F

Step-by-step explanation: It would be 5F(4hr) = 20F. So if you have 14F subtract 20F you get -6F. Hope this helped.

4 0

2 years ago