The average salary of a new graduate is $50,000 with a standard deviation of $6,000. the top 10% of new graduates make $57680 with probability

0.1003

Step-by-step explanation:

Mean salary = u = $ 50,000

Standard Deviation = = $ 6,000

Top 10% of the new graduates make a salary of $57,680. We have to find the probability that the salary of new graduate is $57,680 or more. We can find this by converting this score to equivalent z score and using the z table to find the probability of z score being higher than this value, as shown below:

The formula for z score is:

Using the values, we get:

Thus,

P(Salary ≥ 57680) = P(z ≥ 1.28)

Now, using the z table, the probability of z score being higher than 1.28 comes out to be: 0.1003

So,

P( z ≥ 1.28 ) = P(Salary ≥ 57680) = 0.1003

Thus, the probability of earning a salary of atleast 57,680 is 0.1003

a) one student is chosen from classroom a, then a student is chosen from classroom b.  

step-by-step explanation:

independent events are ones in which the probability of one event does not affect the probability of the second event.

one student is chosen from classroom a; this does not affect the chances of choosing a student from classroom b.   this makes these independent events.

when one card is chosen from a standard deck and then set aside before a second card is chosen, the probability of the second card being chosen changes.   this makes them dependent events.

when one student is chosen from classroom a and then a second student is chosen from classroom a, the probability of choosing the second student changes.   this makes them dependent events.

when a letter is chosen from the alphabet and then a second letter is chosen, the probability of choosing the second letter changes.   this makes them dependent events.

it would be 6xy and -16xy.