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3 years ago

‼️help please ASAP ‼️

Mathematics

1 answer:

Lana71 [14]3 years ago

3 0

The answer to this question is true. The equation (x-h)^2+(y-k)^2 = r^2 represents a circle with a center at (h,k). Taking (h,k) = (-2,2) and r = 3 results in (x+2)^2 + (y-2)^2 = 9. A negative subtracted by a negative is a positive.

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FREE BRAINLY TO THE CORRECT ANSWER!!

Lyrx [107]

Answer: -3

Step-by-step explanation:

y = mx + b (slope intercept formula)

9x - 3y = -54

-3y = 9x - 54

Divide all by -3

y = -3x + 18

Slope = -3

Hope this helps!

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3 years ago

Which expression is equivalent to sec2x − 1?

hichkok12 [17]

<span><span>tan^2</span>(x) is the answer.</span>

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3 years ago

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lina2011 [118]

The distribution is symmetric, I had the same exercise!!

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3 years ago

IM IN DESPERATE NEED FOR HELP SOMEONE HURRRRYYY

LenaWriter [7]

Answer:

yes, triangle DEF is similar to triangle DBC, BC corresponds to EF, and angle DCB corresponds to angle F.

Step-by-step explanation:

Part A: Angle D is congruent to angle D by the reflexive property. Since line BC is parallel to line EF then angle DCB = angle DFE by corresponding angles. Hence triangle DEF is similar to triangle DBS by the AA Similarity Postulate.

Part B: BC corresponds to EF because they are in the same order and the triangles listed DEF and DBC

Part C: Angle DCB corresponds to angle F since they are corresponding angles with the two given parallel lines BC and EF.

3 0

3 years ago

The Director of Admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem

VMariaS [17]

Answer:

Variance = 24900

Standard Deviation = 157.7973

Step-by-step explanation:

We are given the following in the question:

Number of admissions: 1000 1200 1500

Admissions Probability: 0.6 0.3 0.1

Formula:

$E(x) = \displaystyle\sum x_iP(x_i)\\E(x) = 1000(0.6) + 1200(0.3) + 1500(0.1)\\E(x) = 1110\\E(x^2) = \displaystyle\sum x_i^2P(x_i)\\E(x^2) = (1000)^2(0.6) + (1200)^2(0.3) + (1500)^2(0.1)\\E(x^2) = 1257000$

Variance =

$\sigma^2 = E(x^2) - (E(x))^2\\\sigma^2 = 1257000 -(1110)^2\\\sigma^2 =24900$

Thus, the variance is 24900.

Standard Deviation =

$\sigma = \sqrt{\sigma^2} = \sqrt{24900} = 157.7973$

Thus, the standard deviation is 157.7973

7 0

3 years ago