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3 years ago

Who wants points i don't care who

Mathematics

2 answers:

12345 [234]3 years ago

6 0

Answer:

cool

Step-by-step explanation:

cooldyhchbcghbb

Helen [10]3 years ago

5 0

Answer:

yuh

Step-by-step explanation:

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ValentinkaMS [17]

Step-by-step explanation:

hope it is helpful to you

7 0

3 years ago

Name the adjacent angles in the diagram below:

harkovskaia [24]

Hey there!

In this picture, we have many pairs of adjacent angles:

1 and 2

2 and 4

4 and 3

3 and 1

This is because these pairs are being connected by a vertex and a side.

Hope it helps and have a great day!!!

5 0

3 years ago

Find the slope of (-4,-1) and (-2,-5)

UkoKoshka [18]

Answer:

The slope is -2.

Good Luck

6 0

3 years ago

What type of graph would you use to compare the number of books at each price? In two or more sentences, explain

ollegr [7]

Answer:

line graph

Step-by-step explanation:

bar graphs are poi9ntloessfor this

6 0

4 years ago

Read 2 more answers

Grasshoppers are distributed at random in a large field according to a Poisson process with parameter a 5 2 per square yard. How

HACTEHA [7]

In this question, the Poisson distribution is used.

Poisson distribution:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

In which

x is the number of sucesses

e = 2.71828 is the Euler number

$\mu$ is the mean in the given interval.

Parameter of 5.2 per square yard:

This means that $\mu = 5.2r$ , in which r is the radius.

How large should the radius R of a circular sampling region be taken so that the probability of finding at least one in the region equals 0.99?

We want:

$P(X \geq 1) = 1 - P(X = 0) = 0.99$

Thus:

$P(X = 0) = 1 - 0.99 = 0.01$

We have that:

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

$P(X = 0) = \frac{e^{-5.2r}*(5.2r)^{0}}{(0)!} = e^{-5.2r}$

Then

$e^{-5.2r} = 0.01$

$\ln{e^{-5.2r}} = \ln{0.01}$

$-5.2r = \ln{0.01}$

$r = -\frac{\ln{0.01}}{5.2}$

$r = 0.89$

Thus, the radius should be of at least 0.89.

Another example of a Poisson distribution is found at brainly.com/question/24098004

3 0

3 years ago