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Rudiy27
3 years ago
11

9. A 16-ft ladder is leaning against the side of a house. The ladder touches the ground 9 ft away from the house. What angle doe

s the ladder make with the ground?
Round to the nearest WHOLE number.
Note: this is a trigonometry question

Mathematics
2 answers:
Mandarinka [93]3 years ago
8 0

Answer:

Check pdf

Step-by-step explanation:

Download pdf
Snezhnost [94]3 years ago
3 0

55.77°

<h3>EXPLANATION:</h3>

In ◣ ABC, (consider the diagram)

cosΦ = b/h = 9/16

cosΦ = 9/16

Φ = 9/16 × cos-¹

Φ = 55.77

Hence, the angle between the ladder and ground is approximately 56°.

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What is the 72nd term in the term in the arithmetic sequence 3, 9, 15, 21,
boyakko [2]

Answer:

429

Step-by-step explanation:

y=3+6×(n-1)

n=72

y=3+6×(72-1) = 429

7 0
3 years ago
Calculate 3217. km + 13.1 km + 1.30 km. round off if necessary to apply the rule of significant figures for addition and subtrac
QveST [7]
3217 + 13.1 + 1.3 can also be written as

3217.0
+ 13.1
     1.3
----------
<span>3231.4
</span>
Your final answer should be <span>3231.4 or option 4. Hope this helps!</span>
6 0
3 years ago
Where does this real # belong?
Eddi Din [679]
It is irrational because it is a decimal that doesn't terminate or repeat! :)
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Find all solutions for a triangle with B = 36º. b = 19, and c = 30. Round to the nearest tenth.
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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
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