The percent frequency distributions of job satisfaction scores for a sample of information systems (IS) senior executives and mi
1 answer:
Corrected Question
a. Develop a probability distribution for the job satisfaction score of a senior executive.
b. Develop a probability distribution for the job satisfaction score of a middle manager.
c. What is the probability a senior executive will report a job satisfaction score of 4 or 5?
d. What is the probability a middle manager is very satisfied?
Answer:
(c)0.83
(d)0.28
Step-by-step explanation:
The percent frequency distributions of job satisfaction scores os give below:
(a)Probability distribution for the job satisfaction score of a senior executive.
(b)Probability distribution for the job satisfaction score of a middle manager.
(c)Probability a senior executive will report a job satisfaction score of 4 or 5
P(a senior executive will report a job satisfaction score of 4 or 5)
(d)Probability a middle manager is very satisfied
The probability a middle manager is very satisfied
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Answer:
15.6%
Step-by-step explanation:
Since each day there is a 6% chance that Lisa smiles at him then that means that each day there is a 94% chance that Lisa does not smile at him. To find the probability of Milhouse going longer than a month (30 days) without a smile from Lisa we need to multiply this percentage in decimal form for every day of the month. This can be solved easily by putting 94% to the 30th power which would be the same, but first, we need to turn it into a decimal...
94% / 100 = 0.94
= 0.156
Now we can turn this decimal into a percentage by multiplying by 100
0.156 * 100 = 15.6%
Finally, we can see that the probability that Milhouse goes longer than a month without a smile from Lisa is 15.6%