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A discrete probability distribution function has two characteristics:
A child psychologist is interested in the number of times a newborn baby's crying wakes its mother after midnight. For a random sample of 50 mothers, the following information was obtained. Let = the number of times a newborn wakes its mother after midnight. For this example, = 0, 1, 2, 3, 4, 5.
= probability that takes on a value .
0 | |
1 | |
2 | |
3 | |
4 | |
5 |
takes on the values 0, 1, 2, 3, 4, 5. This is a discrete because
Suppose Nancy has classes 3 days a week. She attends classes 3 days a week 80% of the time, 2 days 15% of the time, 1 day 4% of the time, and no days 1% of the time. Suppose one week is randomly selected.
Let = the number of days Nancy ____________________ .
Let = the number of days Nancy attends class per week .
Suppose one week is randomly chosen. Construct a probability distribution table (called a table) like the one in the previous example. The table should have two columns labeled and . What does the column sum to?
0 | 0.01 |
1 | 0.04 |
2 | 0.15 |
3 | 0.80 |
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