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Veseljchak [2.6K]
3 years ago
5

The probability that an event will occur is 25/25 . Which of these best describes the likelihood of the event occurring? (5 poin

ts)
Group of answer choices

Likely

Certain

Unlikely

Impossible

group: 1
Mathematics
1 answer:
lianna [129]3 years ago
7 0
Certain just makes the most
You might be interested in
Solve for x. 2x = 15 x user: when negative five is subtracted from a number the result is 10. find the number.
Svetllana [295]
The answer to this is x= 7.5
7 0
3 years ago
How can u solve this by system of equations by elimination 4x-5y=6;2x+5y=-28
gayaneshka [121]

Answer:

x=17/3, y=10/3. (17/3, 10/3).

Step-by-step explanation:

4x-5y=6

2x+5y=-28

-----------------

4x-5y=6

-2(2x+5y)=-2(-28)

--------------------------

4x-5y=6

-4x-10y=56

------------------

-15y=-50

15y=50

y=50/15

y=10/3

4x-5(10/3)=6

4x-50/3=6

4x=6+50/3

4x=18/3+50/3

4x=68/3

x=(68/3)/4

x=(68/3)(1/4)=68/12=17/3

4 0
3 years ago
What is the complete factorization of f(x)= -1/128(x^4-4x^3-64x^2+256x) ?
krok68 [10]

Answer:

(x−4)2(x2+4x+16)

Step-by-step explanation:

here hope this helpsss

4 0
3 years ago
The length and width of a rectangle are 5 feet and 2 feet, respectively. A similar rectangle has a width of 8 feet. What is the
dsp73

The answer for this question will be 20 ft

8= 4x2 so 5x4=20ft

7 0
3 years ago
In a city with 40000 people, each person has a 0.00020 probability of committing a crime each hour. What is the probability that
galina1969 [7]

Answer:

2.86% probability that there are exactly 3 crimes during the next hour

Step-by-step explanation:

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 time interval.

In a city with 40000 people, each person has a 0.00020 probability of committing a crime each hour.

So \mu = 40000*0.0002 = 8

What is the probability that there are exactly 3 crimes during the next hour

This is P(X = 3).

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

P(X = 3) = \frac{e^{-8}*(8)^{3}}{(3)!} = 0.0286

2.86% probability that there are exactly 3 crimes during the next hour

8 0
3 years ago
Read 2 more answers
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