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Alex Ar [27]
3 years ago
11

An abtuse angle measures 180 degrees

Mathematics
1 answer:
wlad13 [49]3 years ago
7 0

Answer:

A obtuse angle measures 180 degrees

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Eliza wants to conduct a survey to find out how much time students from her school spend listening to music. Which of the follow
Sophie [7]

Answer:

B

Step-by-step explanation:

You want to find the hours, not the number of people.

We wouldn't know anything about the "best musician" that one wouldn't be a good answer choice

5 0
4 years ago
(-8)(-1) - 2[2-5(-1)]<br> Slove the problem
Vladimir79 [104]

Answer:

3.5

Step-by-step explanation:

(-8)(-1) -2[2-5(-1)]

8 -2 [ 2-5(-1)]

8 -4+10+2

-32+80+16

+32 +32

80=48

--- ----

2 2

40= 24

--- ---

2 2

20= 13

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2 2

10= 6.5

10- 6.5

3.5

4 0
3 years ago
What is the length of side s of the square shown below?
Len [333]
Answer: C
we know the ratio 45:45:90 and x:x:x root of 2
in this case 8 is x root of 2
so,
other sides are 8/ root of 2
hence,
we get 4 root of 2
7 0
3 years ago
Read 2 more answers
Through: (-5,2), slope=-4/5
Oksana_A [137]

Answer:

<h2>y - 2 = -4/5(x + 5)</h2>

Step-by-step explanation:

The point-slope form of an equation of a line:

y-y_1=m(x-x_1)

We have the slope m = -4/5 and the point (-5, 2). Substitute:

y-2=-\dfrac{4}{5}(x-(-5))\\\\y-2=-\dfrac{4}{5}(x+5)

7 0
3 years ago
When using the Poisson distribution, which parameter of the distribution is used in probability computations? What is the symbol
egoroff_w [7]

Answer:

The Poisson distribution uses the shape parameter denoted by  <em>λ</em>.

Step-by-step explanation:

A Poisson distribution is used to describe the distribution of the number of events that take place in a fixed interval of time.

For instance, number of customers arriving at a bank in an hour or the number of typos encountered in a book every 50 pages.

The Poisson distribution uses the shape parameter to compute the probabilities of different events.

The shape parameter is defined as the average number of occurrence in a given time interval. It is usually denoted by <em>λ</em>.

The probability mass function of a Poisson distribution is:

P(X=x)\frac{e^{-\lambda}\lambda^{x}}{x!};\ x=0,1,2,3...

7 0
3 years ago
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