1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
Levart [38]
3 years ago
7

The probability that Chloe acts hungry at 7pm given that she has already eaten dinner is 0.5. The probability that Chloe acts hu

ngry at 7pm given that she has not had dinner is 0.99. Assume that there is probability 0.9 that Chloe has eaten dinner by 7pm on a given day. a) (1 pt) If Chloe is acting hungry at 7pm, find the probability that she has not had dinner yet. b) (1 pt) If Chloe is not acting hungry at 7pm, find the probability that she has already had dinner.
Mathematics
1 answer:
kolezko [41]3 years ago
3 0

Answer:

a) P(  Y^{C} | X ) = 0.180

b) P(Y | X^{C}  ) = 0.998

Step-by-step explanation:

Let

P(X) - Probability that he acts hungry

P(Y) - Probability that he had ate dinner,

Given,

P(X | Y) = 0.5

P(X | Y^{C}  ) = 0.99

P(Y) = 0.9

a.)

P(  Y^{C} | X ) =  \frac{P( X | Y^{C} ). P(Y^{C} )   }{P( X | Y^{C} ). P(Y^{C} ) + P( X | Y ) . P (Y) }

                  = \frac{(0.99)(0.1)}{(0.99)(0.1) + (0.5)(0.9)} = \frac{0.099}{0.549} = 0.180

⇒P(  Y^{C} | X ) = 0.180

b.)

P(Y | X^{C}  ) = \frac{(1 - P(X | Y ) ) . P(Y)}{P( X^{C} )  } =  \frac{(1 - P(X | Y ) ) . P(Y)}{ 1 - P( X )  }

                 = \frac{(1 - 0.5)(0.9)}{1 - [(0.99)(0.1) + (0.5)(0.9) ]} = \frac{(0.5)(0.9)}{1 - [(0.099) + (0.45) ]} = \frac{0.45}{1 - [0.540]} = \frac{0.45}{0.451} = 0.998

⇒P(Y | X^{C}  ) = 0.998

You might be interested in
What is the value of x in the equation 3×=1​
kenny6666 [7]

Answer:

x=1/3

Step-by-step explanation:

3 0
3 years ago
If a /b = p /q, then (a + b )/b = _______.
USPshnik [31]
\dfrac ab=\dfrac pq\implies b=\dfrac{aq}p

Substituting into the second expression,

\dfrac{a+b}b=\dfrac{a+\dfrac{aq}p}{\dfrac{aq}p}=\dfrac{ap+aq}{aq}=\dfrac{p+q}q
7 0
4 years ago
What is the relationship between the 6s in the number 6, 647
Virty [35]
The first six represents 6,000 and the second represents 600.  The first has ten times as much value.
4 0
4 years ago
What are the solutions of the equation x^6-9x^3+8= 0 use u substitution to solve
labwork [276]

Answer: x = {1, 2}

<u>Step-by-step explanation:</u>

x⁶ - 9x³ + 8 = 0

Let u = x³  

⇒ (x³)² - 9(x³)¹ + 8(x³)⁰ = 0

⇒ u² - 9u + 8 = 0

⇒ (u - 1)(u - 8) = 0

⇒ u = 1 or u = 8

Replace u with x³

x³ = 1     or   x³ = 8

Take the cubed root of each side

x = 1     or     x = 2

 

7 0
3 years ago
Suppose a certain airline uses passenger seats that are 16.2 inches wide. Assume that adult men have hip breadths that are norma
Pachacha [2.7K]

Answer:

Each adult male has a 5.05% probability of having a hip width greater than 16.2 inches.

There is a 0.01% probability that the 110 adult men will have an average hip width greater than 16.2 inches.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by

Z = \frac{X - \mu}{\sigma}

After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X. Subtracting 1 by the pvalue, we This p-value is the probability that the value of the measure is greater than X.

In this problem

Assume that adult men have hip breadths that are normally distributed with a mean of 14.4 inches and a standard deviation of 1.1 inches. This means that \mu = 14.4, \sigma = 1.1.

What is the probability that any one of those adult male will have a hip width greater than 16.2 inches?

For each one of these adult males, the probability that they have a hip width greater than 16.2 inches is 1 subtracted by the pvalue of Z when X = 16.2. So:

Z = \frac{X - \mu}{\sigma}

Z = \frac{16.2 - 14.4}{1.1}

Z = 1.64

Z = 1.64 has a pvalue of 0.9495.

This means that each male has a 1-0.9495 = 0.0505 = 5.05% probability of having a hip width greater than 16.2 inches.

For the average of the sample

What is the probability that the 110 adult men will have an average hip width greater than 16.2 inches?

Now, we need to find the standard deviation of the sample before using the zscore formula. That is:

s = \frac{\sigma}{\sqrt{110}} = 0.1.

Now

Z = \frac{X - \mu}{\sigma}

Z = \frac{16.2 - 14.4}{0.1}

Z = 18

Z = 18 has a pvalue of 0.9999.

This means that there is a 1-0.9999 = 0.0001 = 0.01% probability that the 110 adult men will have an average hip width greater than 16.2 inches.

7 0
3 years ago
Other questions:
  • Shryia read a 480 page long book cover to cover in a single session, at a constant rate. After reading for 1.5 hours, she had 40
    6·2 answers
  • Keshawn is constructing the inscribed circle for △PQR . He has already used his compass and straightedge to complete the part of
    6·2 answers
  • 1/3(x+6)= 2/3(x-9) pls help me
    14·1 answer
  • In a survey, the planning value for the population proportion is . How large a sample should be taken to provide a confidence in
    8·1 answer
  • Which input value produces the same output value for
    15·1 answer
  • Find the shaded area. First to answer (correctly) will get brainliest.
    14·1 answer
  • Need answers fast help help !!!
    5·1 answer
  • Which equation could be used to find the value of x?
    10·2 answers
  • When it is born a kitten weighs 110g when it is two months old it weighs 550g calculate the percentage increase in its mass
    8·1 answer
  • Freeeeeeeeeeeeeeeee poin5sssssssssssssssssssss<br> btw add me
    5·2 answers
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!