Assume that 40% of graduates come from University A and and earn salaries of 30,000 on average with a standard deviation of 5,000. The remainder come from University B and earn salaries of 25,000 on average with a standard deviation of 7,500. If you are told that a graduate is earning less than 35,000, what is the probability that they came from University A

Respuesta :

Answer:

38.18% probability that they came from University A

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the conditional probability formula.

Normal probability distribution:

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

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

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. 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, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Conditional probability formula:

We use the conditional probability formula to solve this question. It is

[tex]P(B|A) = \frac{P(A \cap B)}{P(A)}[/tex]

In which

P(B|A) is the probability of event B happening, given that A happened.

[tex]P(A \cap B)[/tex] is the probability of both A and B happening.

P(A) is the probability of A happening.

If you are told that a graduate is earning less than 35,000, what is the probability that they came from University A

So:

Event A: earning less than 35,000

Event B: coming form university A.

Probability of earning less than 35,000.

40% come from University A.

University A: Mean 30,000 and standard deviation 5,000.

This probability is the pvalue of Z when X = 35,000. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{35,000 - 30,000}{5,000}[/tex]

[tex]Z = 1[/tex]

[tex]Z = 1[/tex] has a pvalue of 0.8413.

Intersection is coming from university A and earning less than 35,000. So

[tex]P(A \cap B) = 0.40*0.8413 = 0.33652[/tex]

60% come from university B:

Mean 25,000 and standard deviation 7,5000.

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{35,000 - 25,000}{7,500}[/tex]

[tex]Z = 1.33[/tex]

[tex]Z = 1.33[/tex] has a pvalue of 0.9082.

Then

[tex]P(A) = 0.40*0.8413 + 0.6*0.9082 = 0.88144[/tex]

Finally:

[tex]P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.33652}{0.88144} = 0.3818[/tex]

38.18% probability that they came from University A