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Liono4ka [1.6K]
4 years ago
12

Need help please is it c or d

Mathematics
1 answer:
s2008m [1.1K]4 years ago
5 0

Answer: C. None of these

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i think point A ( -3 , 4)

(-3,4)

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I understand your pain

Step-by-step explanation: sadge

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Wich ratio is equivalent to 4:5<br><br> A 10/15 <br><br> B 4/10<br><br> C 16/20<br><br> D 15/8
velikii [3]

Answer:

16/20

Step-by-step explanation:

4:5

Multiply each side by 4

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7 0
3 years ago
Read 2 more answers
A, B, and C are points of tangency. CQ = 5, PQ = 10, and PR = 14. What is the perimeter
igomit [66]

*see attachment for diagram

Answer:

Perimeter = 38

Step-by-step explanation:

Recall: when two tangents are drawn to meet at a point outside a circle, the segments of the two tangents are congruent.

Given,

CQ = 5

PQ = 10

PR = 14

Perimeter of ∆PQR = RC + CQ + QB + BP + PA + AR

CQ = QB = 5 (tangents drawn from an external point)

BP = PQ - QB

BP = 10 - 5 = 5

BP = PA = 5 (tangents drawn from an external point)

AR = PR - PA

AR = 14 - 5 = 9

AR = RC = 9 (tangents drawn from an external point)

✔️Perimeter of ∆PQR = RC + CQ + QB + BP + PA + AR

= 9 + 5 + 5 + 5 + 5 + 9

Perimeter = 38

7 0
3 years ago
You are obsessed with how many views your pictures get. On average, you get 3022 views per post and always post exactly one pict
pychu [463]

Answer:

The approximate probability of getting 100000 views or more in January if we assume view counts from day-to-day are independent = 0.22254

Step-by-step explanation:

January has 31 days.

The average number of views per day = 3022 views per day.

In terms of hourly basis, the average number of views = 3022/24 ≈ 126 views per hour

Then we need to find the probability that the number of views in January is equal to or exceeds 100000.

100000 views in January = 100000/31 = 3225.81 ≈ 3226 views per day

On an hourly basis, 3226 views per day ≈ 135 views per hour.

So, mean = λ = 126 views per hour

x = 135 views per hour.

Using Poisson's distribution function

P(X = x) = (e^-λ)(λˣ)/x!

P(X ≥ x) = Σ (e^-λ)(λˣ)/x! (Summation From x to the end of the distribution)

But it's easier to obtain

P(X < x) = Σ (e^-λ)(λˣ)/x! (Summation From 0 to x)

P(X ≥ x) = 1 - P (X < x)

Putting λ = 126 views/hour and x = 135 views/hour in the Poisson distribution formula calculator

P(X ≥ 135) = 0.22254

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3 years ago
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