Cathy is planning to take the Certified Public Accountant Examination (CPA exam). Records kept by the college of business from which she graduated indicate that 89% of the students who graduated pass the CPA exam. Assume that the exam is changed each time it is given. Let n = 1, 2, 3, ... represent the number of times a person takes the CPA exam until the first pass. (Assume the trials are independent.)

(a) What is the probability that Cathy passes the CPA exam on the first try? (Use 2 decimal places.)
P(1)

(b) What is the probability that Cathy passes the CPA exam on the second or third try? (Use 4 decimal places.)
P(2 or 3)

Respuesta :

Answer:

a) [tex]P(X=1)=(1-0.89)^{1-1} 0.89 = 0.89[/tex]

b) [tex]P(X=2)=(1-0.89)^{2-1} 0.89 = 0.098[/tex]

[tex]P(X=3)=(1-0.89)^{3-1} 0.89 = 0.0108[/tex]

And adding we got:

[tex]P(2 \leq X\leq 3)=P(X=2)+P(X=3)= 0.098+0.0108= 0.1088[/tex]

Step-by-step explanation:

Previous concepts

The geometric distribution represents "the number of failures before you get a success in a series of Bernoulli trials. This discrete probability distribution is represented by the probability density function:"

[tex]P(X=x)=(1-p)^{x-1} p[/tex]

Let X the random variable that measures the number os trials until the first success, we know that X follows this distribution:

[tex]X\sim Geo (1-p)[/tex]

Part a

For this case we want this probability

[tex]P(X=1)=(1-0.89)^{1-1} 0.89 = 0.89[/tex]

Part b

For this case we want this probability:

[tex]P(2 \leq X\leq 3)=P(X=2)+P(X=3)[/tex]

If we find the individual probabilities we got:

[tex]P(X=2)=(1-0.89)^{2-1} 0.89 = 0.098[/tex]

[tex]P(X=3)=(1-0.89)^{3-1} 0.89 = 0.0108[/tex]

And adding we got:

[tex]P(2 \leq X\leq 3)=P(X=2)+P(X=3)= 0.098+0.0108= 0.1088[/tex]

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