For the data discussed in Exercise 1.33, give an upper

Chapter 1, Problem 34SE

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QUESTION:

Problem 34SE

For the data discussed in Exercise 1.33, give an upper bound to the fraction of days when there are more than 13 absentees.

Reference

A personnel manager for a certain industry has records of the number of employees absent per day. The average number absent is 5.5, and the standard deviation is 2.5. Because there are many days with zero, one, or two absent and only a few with more than ten absent, the frequency distribution is highly skewed. The manager wants to publish an interval in which at least 75% of these values lie. Use the result in Exercise 1.32 to find such an interval.

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QUESTION:

Problem 34SE

For the data discussed in Exercise 1.33, give an upper bound to the fraction of days when there are more than 13 absentees.

Reference

A personnel manager for a certain industry has records of the number of employees absent per day. The average number absent is 5.5, and the standard deviation is 2.5. Because there are many days with zero, one, or two absent and only a few with more than ten absent, the frequency distribution is highly skewed. The manager wants to publish an interval in which at least 75% of these values lie. Use the result in Exercise 1.32 to find such an interval.

ANSWER:

Answer:    

Step 1 of 3:

     Here we need to find an upper bound to the fraction of days when there are more than 13 absents.

       Where, 13 is 3 standard deviations above the mean.


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