Chapter 2: Problem 1
Prove the following relations. $$ E F \subset E \subset E \cup F $$
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Chapter 2: Problem 1
Prove the following relations. $$ E F \subset E \subset E \cup F $$
These are the key concepts you need to understand to accurately answer the question.
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A certain town of population size 100,000 has 3 newspapers: I, II, and III. The proportions of townspeople that read these papers are as follows: I: 10 percent \(\quad\) I and II: 8 percent \(\quad\) I and II and III: 1 percent \(\begin{aligned} \text { II: } 30 \text { percent } & \text { I and III: } 2 \text { percent } \\ \text { III: } 5 \text { percent } & \text { II and III: } 4 \text { percent } \end{aligned}\) (The list tells us, for instance, that 8000 people read newspapers \(I\) and II.) (a) Find the number of people reading only one newspaper. (b) How many people read at least two newspapers? (c) If \(\mathrm{I}\) and III are moming papers and II is an evening paper, how many people read at least one morning paper plus an evening paper? (d) How many people do not read any newspapers? (e) How many people read only one moming paper and one evening paper?
A die is rolled continually until a 6 appears, at which point the experiment stops. What is the sample space of this experiment? Let \(E_{n}\) denote the event that \(n\) rolls are necessary to complete the experiment. What points of the sample space are contained in \(E_{n}\) ? What is \(\left(\bigcup_{1}^{x} E_{n}\right)^{c} ?\)
Prove the following relations. $$ \left(\bigcup_{1} E_{i}\right) F=\bigcup_{1}^{\infty} E_{i} F, \text { and }\left(\bigcap_{1}^{\infty} E_{i}\right) \cup F=\bigcap_{1}^{\infty}\left(E_{l} \cup F\right) $$
Poker dice is played by simultaneously rolling 5 dice. Show that (a) \(P\\{\) no two alike \(\\}=.0926\) (b) \(P\) (one pair \(\\}=.4630\) (c) \(P\\{\) two pair \(\\}=.2315\) (d) \(P\\{\) three alike \(\\}=.1543\); (e) \(P\\{\) full house \(\\}=.0386\); (f) \(P\) (four alike \(\\}=0193\) (g) \(P\\{\) five alike \(\\}=.0008\).
A hospital administrator codes incoming patients suffering gunshot wounds according to whether they have insurance (coding 1 if they do and 0 if they do not) and according to their condition, which is rated as good (g), fair (f), or serious (s). Consider an experiment that consists of the coding of such a patient. (a) Give the sample space of this experiment. (b) Let \(A\) be the event that the patient is in serious condition. Specify the outcomes in \(A\). (c) Let \(B\) be the event that the patient is uninsured. Specify the outcomes in \(B\). (d) Give all the outcomes in the event \(B^{c} \cup A\).
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