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snow_tiger [21]
3 years ago
5

Find the perimeter and area of the square.

Mathematics
2 answers:
Ilya [14]3 years ago
8 0

Answer:

40

Step-by-step explanation:

10*4

i havnt done this in a while but this is what i got

torisob [31]3 years ago
4 0

Answer: the answer would be 40

Step-by-step explanation:

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Find the measure of angle x. Round your answer to the nearest hundredth. (please type the numerical answer only) A right triangl
mars1129 [50]

Answer:

22.62

Step-by-step explanation:

Cos=12/13

12/13= 0.9231

Cos^-1(0.9231)=22.62

8 0
3 years ago
Write the equation using polar coordinates y^2=16x
baherus [9]
<span>r²sin²θ = 16rcosθ </span>

<span>rsin²θ = 16cosθ </span>

<span>r = 16cosθ / sin²θ </span>

<span>r = 16cotθcscθ</span>
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3 years ago
Evaluate the expression when m = 2.
dalvyx [7]
11 - 3m   (replace m with 2)
11-3*2
11 - 6
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6 0
2 years ago
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What is the value of the expression 5/6 divided by 1/8
Vera_Pavlovna [14]
=20/3
I hope I helped!
Happy new years,
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Mabel L.
3 0
3 years ago
Read 2 more answers
Conditional Distribution, Marginal Distribution, Joint Distribution. <br> What’s the difference?
lutik1710 [3]

Explanation:

Marginal distribution: This distribution gives the probability for each possible value of the Random variable ignoring other random variables. Basically, the values of other variables is not considered in the marginal distribution, they can be any value possible. For example, if you have two variables X and Y, the probability of X being equal to a value, lets say, 4, contemplates every possible scenario where X is equal to 4, independently of the value Y has taken. If you want the probability of a dice being a multiple of 3, you are interested that the dice is either 3 or 6, but you dont care if the dice is even or odd.

Conditional distribution: This distribution contrasts from the previous one in the sense that we are restricting the universe of events to specific condition for other variable, making a modification of our marginal results. If we know that throwing a dice will give us a result higher than 2, then to in order to calculate the probability of the dice being a multiple of 3 using that condition, we have two favourable cases (3 and 6) from 4 total possible results (3,4,5 and 6) discarding the impossible values (1 and 2) from this universe since they dont match the condition given (note that the restrictions given can also reduce the total of favourable cases).

The joint distribution calculates the probabilities for two different events (related to two different random variables) occuring simultaneously. If we want to calculate the joint probability of a dice being multiple of 3 and greater than 2 at the same time, our possible cases in this case are 3 and 6 from 6 possible results. We are not discarding 1 or 2 as possible results because we are not assuming, that the dice is greater than 2, that is another condition that we should met in the combination of events.

3 0
2 years ago
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