.1 Probability Distribution Function (PDF) for a Discrete Rand Variable 1. Example. A student takes a ten-question, true-false quiz. Because the student had such a schedule, he or she could not study and guesses randomly at each answer. What is the probal of the student passing the test with at least a 70 %? 2. Example. Small companies might be interested in the number of long-distance phone calls employees make during the peak time of the day. Suppose the average is 20 calls and a TTres soloctod Whot is the nrobability, that the omplovoos of the moko moro

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4.1
Probability Distribution Function (PDF) for a Discrete Random
Variable
1. Example. A student takes a ten-question, true-false quiz. Because the student had such a busy
schedule, he or she could not study and guesses randomly at each answer. What is the probability
of the student passing the test with at least a 70 %?
2. Example. Small companies might be interested in the number of long-distance phone calls their
employees make during the peak time of the day. Suppose the average is 20 calls and a small
company was selected. What is the probability that the employees of the company make more than
20 long-distance phone calls during the peak time?
To predict such a probability whal else do you think you need to know?
3. Define a random variable (or a probability variable):
4. Notation of random variable:
1
5. In each of the previous examples, what is the random variable of interest?
Transcribed Image Text:4.1 Probability Distribution Function (PDF) for a Discrete Random Variable 1. Example. A student takes a ten-question, true-false quiz. Because the student had such a busy schedule, he or she could not study and guesses randomly at each answer. What is the probability of the student passing the test with at least a 70 %? 2. Example. Small companies might be interested in the number of long-distance phone calls their employees make during the peak time of the day. Suppose the average is 20 calls and a small company was selected. What is the probability that the employees of the company make more than 20 long-distance phone calls during the peak time? To predict such a probability whal else do you think you need to know? 3. Define a random variable (or a probability variable): 4. Notation of random variable: 1 5. In each of the previous examples, what is the random variable of interest?
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