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Katarina [22]
3 years ago
11

Harper bought 8.6 cm of fabric. She used 2.8 meters making a pilow . How many cm of fabric does she have left

Mathematics
1 answer:
KiRa [710]3 years ago
3 0

Answer:

5.8 cm fabric is left

Step-by-step explanation:

Fabric bought = 8.6 cm

Used fabric to make pillow = 2.8 m

We need to find the amount of left fabric.

Left fabric = total fabric - used fabric

= 8.6 cm - 2.8 cm

= 5.8 cm

Hence, 5.8 cm fabric is left.

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grin007 [14]

Answer:

\large \boxed{\sf \ \ 64 \ \ }

Step-by-step explanation:

Hello,

2(a+b+c)=(a+b)+(b+c)+(c+a)=4+5+7=16\\\\\text{*** divide by 2 both sides ***}\\\\(a+b+c)=\dfrac{16}{2}=8 \ \ \text{ so...}\\\\(a+b+c)^2=8^2=\large \boxed{64}

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7 0
3 years ago
Five individuals from an animal population thought to be near extinction in a certain region have been caught, tagged, and relea
Talja [164]

Answer:

a) For this case the random variable X follows a hypergometric distribution.

b) E(X)= n\frac{M}{N}=10 \frac{5}{25}=2

Var(X)=n \frac{M}{N}\frac{N-M}{N}\frac{N-n}{N-1}=10\frac{5}{25}\frac{25-5}{25}\frac{25-10}{25-1}=1

c) P(X=0)= \frac{(5C0)(25-5 C 10-0)}{25C10}=\frac{1*184756}{3268760}=0.0565

d) P(X=5)= \frac{(5C5)(25-5 C 10-5)}{25C10}=\frac{1*15504}{3268760}=0.00474

Step-by-step explanation:

The hypergometric distribution is a discrete probability distribution that its useful when we have more than two distinguishable groups in a sample and the probability mass function is given by:

P(X=k)= \frac{(MCk)(N-M C n-k)}{NCn}

Where N is the population size, M is the number of success states in the population, n is the number of draws, k is the number of observed successes

The expected value and variance for this distribution are given by:

E(X)= n\frac{M}{N}

Var(X)=n \frac{M}{N}\frac{N-M}{N}\frac{N-n}{N-1}

a. What is the distribution of X?

For this case the random variable X follows a hypergometric distribution.

b. Compute the values for E(X) and Var(X)

For this case n=10, M=5, N=25, so then we can replace into the formulas like this:

E(X)= n\frac{M}{N}=10 \frac{5}{25}=2

Var(X)=n \frac{M}{N}\frac{N-M}{N}\frac{N-n}{N-1}=10\frac{5}{25}\frac{25-5}{25}\frac{25-10}{25-1}=1

c. What is the probability that none of the animals in the second sample are tagged?

So for this case we want this probability:

P(X=0)= \frac{(5C0)(25-5 C 10-0)}{25C10}=\frac{1*184756}{3268760}=0.0565

d. What is the probability that all of the animals in the second sample are tagged?

So for this case we want this probability:

P(X=5)= \frac{(5C5)(25-5 C 10-5)}{25C10}=\frac{1*15504}{3268760}=0.00474

4 0
3 years ago
Helpppp? PLease im very confused
kompoz [17]

Answer:

Yes

Step-by-step explanation:

There is a linear relationship, so there is a constant change in the graph and thus a proportional relationship.

3 0
3 years ago
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