Respuesta :
Answer:
The probability that a randomly selected programmer major received a salary less than 38000 is 0,3085
Step-by-step explanation:
We will assume that the salaries are Normally distributed. Lets call X the salary of a random major programmer in dollars. We want the pprobability of X being less than 38000. For it, we will standarize X. Lets call W the standarization, given by the formula
[tex] W = \frac{X-\mu}{\sigma}=\frac{X-39269}{2550} [/tex]
Lets denote [tex] \phi [/tex] the cumulative distribution function of the standard normal variable W. The values of [tex] \phi [/tex] are well known and they can be found in the attached file. Now, lets calcualte the probability of X being less than 38000 using [tex] \phi [/tex]
[tex]P(X<38000) = P(\frac{X-39269}{2550} < \frac{38000-39269}{2550}) = P(W < -0.50)[/tex]
Since the density function of a standard normal random variable is symmetric, then [tex] \phi(-0.50) = 1-\phi(0.50) = 1-0.6915 = 0.3085 [/tex]
The probability that a randomly selected programmer major received a salary less than 38000 is 0,3085.
Answer:
The probability is 0.6915
Step-by-step explanation:
Test statistic (z) = (starting salary - mean starting salary)/standard deviation
starting salary = $38,000
mean starting salary = $39,269
standard deviation = $2,550
z = (38,000 - 39,269)/2550 = -1269/2550 = -0.50
The cumulative area of the test statistic is the probability that the starting salary is less than $38,000. The cumulative area is 0.6915.
Therefore, the probability is 0.6915.