The tables below show four sets of data: Set A x 1 2 3 4 5 6 7 8 9 y 10 9 8 7 6 5 4 3 2 Set B x 1 2 3 4 5 6 7 8 9 y 3 4 5 6 7 8
2 answers:
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Complete Question
A recent study found that hourly wages earned by employees possessing a master's degree are distributed normally with a mean of $27.50 and standard deviation of $3.50
At a recent job fair, Intel boasted that they paid master's graduates more than 90% of all
employers. If we interpret their claim as a percentile, what hourly wage must they offer employees with master's degrees?
Answer:
The value is
Step-by-step explanation:
From the question we are told that they paid master's graduates more than 90% of all
Generally from the z-table the z-score for 90% is
This z-score can be mathematically represented as
Here x is the hourly wage they offer employees with master's degrees
substituting $27.50 for and $3.50 for
we have
=>
Answer:
(i) 0.15708
(ii) 0.432488
(iii) 3
Step-by-step explanation:
Given that, 99% of people who fracture or dislocate a bone see a doctor for that condition.
There is only two chance either the person having fracture or dislocation of bone will either see the doctor or not.
As per previous data, if one person got a fracture or dislocation of bone, the chance of seeing the doctor is 0.99. Assuming this chance is the same for every individual, so the total number of people having fractured or dislocated a bone can be considered as Bernoulli's population.
Let p be the probability of success represented by the chances of not seeing a doctor by any one individual having fractured or dislocated a bone.
So, p=1-0.99=0.01
According to Bernoulli's theorem, the probability of exactly r success among the total of n randomly selected from Bernoulli's population is
(i) The total number of persons randomly selected, n=400.
The probability that exactly 5 of them did not see a doctor
So, r=5 , p=0.01
Using equation (i),
=0.15708
(ii) The probability that fewer than four of them did not see a doctor
(iii) The expected number of people who would not see a doctor
=3