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svp [43]
3 years ago
14

Given sinθ = 2/5 and cosθ < 0: 1. Find cscθ 2. Find cotθ

Mathematics
1 answer:
Tems11 [23]3 years ago
5 0

Recall that

sin²(<em>θ</em>) + cos²(<em>θ</em>) = 1

for all <em>θ</em>, and given that cos(<em>θ</em>) < 0, we find that

cos(<em>θ</em>) = -√(1 - sin²(<em>θ</em>)) = -√(1 - (2/5)²) = -√(21)/5

Now,

csc(<em>θ</em>) = 1/sin(<em>θ</em>) = 1/(2/5) = 5/2

and

cot(<em>θ</em>) = cos(<em>θ</em>)/sin(<em>θ</em>) = (-√(21)/5)/(2/5) = -√(21)/2

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crimeas [40]

Answer:

x=10 and x=-9

Step-by-step explanation:

Factor:

(x-10)(x+9)=0

x-10=0

x=10

and

x+9=0

x=-9

3 0
2 years ago
Which point lies on the graph of the function shown below?<br><br> y= -x^2 + 4x -2
Nata [24]

I'm pretty sure quadrant II (2,2)

7 0
3 years ago
A rocket is 1 mile above the earth in 30 seconds and 5 miles above the earth in 2.5 minutes. What is the rockets rate of change
tamaranim1 [39]
The rockets rate of change in miles per second is: (5 - 1)/(2.5*60 - 30) = 1/30 miler per second or 0.033 the rockets rate of change in miles per minute is: (5 - 1)/(2.5 - 30/60) = 2 miles per minute
6 0
3 years ago
Consider the probabilities of people taking pregnancy tests. Assume that the true probability of pregnancy for all people who ta
Valentin [98]

Using conditional probability, it is found that there is a 0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

<h3>What is Conditional Probability?</h3>

Conditional probability is the probability of one event happening, considering a previous event. The formula is:

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

  • P(B|A) is the probability of event B happening, given that A happened.
  • P(A \cap B) is the probability of both A and B happening.
  • P(A) is the probability of A happening.

In this problem, the events are:

  • Event A: Positive test result.
  • Event B: Pregnant.

The probability of a positive test result is composed by:

  • 99% of 10%(truly pregnant).
  • 2% of 90%(not pregnant).

Hence:

P(A) = 0.99(0.1) + 0.02(0.9) = 0.117

The probability of both a positive test result and pregnancy is:

P(A \cap B) = 0.99(0.1)

Hence, the conditional probability is:

P(B|A) = \frac{0.99(0.1)}{0.117} = 0.8462

0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

You can learn more about conditional probability at brainly.com/question/14398287

7 0
2 years ago
Please help and explain the question is in the picture
Digiron [165]

Answer: 123 square feet

Step-by-step explanation: The question is a little odd, but I can break it down easily. It wants us to find the area of a three foot border around his room.

First, the whole area of his room is 20 x 24 = 480

Next, we have to make the measurements 3 feet smaller on each wall, so 17 x 21 = 357

Finally, to find the area of the border, we simply do 480 - 357 = 123

He needs to buy 123 square feet of carpeting

Hope this helps!

8 0
3 years ago
Read 2 more answers
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