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6.12 Consider a Venn diagram picturing two events \(A\) and \(B\) that are not disjoint. a. Shade the event \((A \cup B)^{C} .\) On a separate Venn diagram shade the event \(A^{C} \cup B^{C} .\) How are these two events related? b. Shade the event \((A \cap B)^{C} .\) On a separate Venn diagram shade the event \(A^{C} \cup B^{C}\). How are these two events related? (Note: These two relationships together are called DeMorgan's laws.)

Short Answer

Expert verified
In both scenarios, the shaded regions representing \((A \cup B)^{C}\) and \(A^{C} \cup B^{C}\), and then \((A \cap B)^{C}\) and \(A^{C} \cup B^{C}\) are the same, confirming DeMorgan's laws.

Step by step solution

01

Understanding the Sets Notation

Start by understanding what the notations mean. The \(\cup\) symbol represents union of two events - it is the set of all elements that are in either A or B or in both. The \(\cap\) symbol represents intersection of two events - it is the set of all elements that are common to both A and B. The \(C\) represents complement of an event - the set of all elements not in the event.
02

Shading the Venn Diagram for \((A \cup B)^{C}\)

Sketch a Venn diagram with two overlapping circles representing sets A and B respectively. Shade the region outside of both circles. This represents the complement of the union of A and B \((A \cup B)^{C}\), which is the set of all elements not in either A or B.
03

Shading the Venn Diagram for \(A^{C} \cup B^{C}\)

Sketch a separate Venn diagram just like in step 2. This time, shade the regions outside A and outside B, this represents the union of the complements of A and B \(A^{C} \cup B^{C}\), which is the set of all elements not in A or not in B.
04

Comparing the Shaded Regions

Compare the shaded regions in step 2 and step 3. If DeMorgan's law is correct, these two shaded regions should be the same.
05

Shading the Venn Diagram for \((A \cap B)^{C}\)

Sketch a new Venn diagram, this time shade the region that is outside the intersection of circles A and B, i.e., all areas that do not belong to both A and B.
06

Comparing the Shaded Regions Again

Compare the shaded region in step 5 with the Venn diagram from step 3. If DeMorgan's law is correct, these two shaded regions should also be the same.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Venn diagram
A Venn diagram is a visual tool used to depict the relationship between different sets in a clear and concise manner. To understand how it helps in set theory, imagine two overlapping circles, each representing a different set. The area where the two circles overlap represents the intersection of the two sets, indicating where they have elements in common. Areas in the individual circles that do not overlap symbolize elements that are unique to each set. When it comes to complex set operations, a Venn diagram can be particularly useful. For example, shading areas corresponding to specific set operations helps in visualizing concepts like union, intersection, and set complement, making abstract ideas much more tangible.

In the context of the exercise, using Venn diagrams allows you to understand the relationships put forth by DeMorgan's laws and see them in action.
Set theory
Set theory is the mathematical study of collections of objects, known as sets. It is a fundamental part of modern mathematics and serves as the foundation for various mathematical disciplines. In set theory, the objects in a set are called elements or members, and they can be anything: numbers, symbols, points, etc. The beauty of set theory lies in its ability to describe operations on these collections, helping us understand concepts such as union, intersection, and set complement. It provides precise language and notation to describe complex mathematical ideas, whether in pure mathematics or applied fields like statistics and probability, as demonstrated by the exercise involving events represented by sets.
Complement of a set
The complement of a set contains all the elements that are not in the original set, given a universal set to which both belong. If you have a universal set, typically denoted by the letter U, and a subset A within it, then the complement of A, denoted as \(A^{C}\), would be the set of all elements in U that are not in A.

Illustrating with a Venn diagram, if a circle within a box represents set A, then the area of the box outside the circle is \(A^{C}\). Understanding the complement is crucial for solving various problems in probability and for grasping the logic behind DeMorgan's laws. In the exercise, we use this concept to visualize set operations by shading the appropriate regions in the Venn diagram.
Union and intersection of sets
Union and intersection are two fundamental operations in set theory. The union of two sets, denoted as \(A \cup B\), is a set that contains all elements that are in set A, set B, or both. It combines the members of each set into one larger set without duplicates.

The intersection of two sets, denoted as \(A \cap B\), is the set containing all elements that are common to both sets A and B. This operation narrows down the focus to the shared elements. These operations are graphically illustrated using Venn diagrams, where the union is represented by the combined shaded area of the two sets and the intersection by the overlapping shaded region. In the exercise, understanding these operations allows for the exploration of the relationship between them as specified by DeMorgan's laws.

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Most popular questions from this chapter

A theater complex is currently showing four R-rated movies, three \(\mathrm{PG}-13\) movies, two \(\mathrm{PG}\) movies, and one \(\mathrm{G}\) movie. The following table gives the number of people at the first showing of each movie on a certain Saturday: $$ \begin{array}{rlc} \text { Theater } & \text { Rating } & \begin{array}{l} \text { Number of } \\ \text { Viewers } \end{array} \\ \hline 1 & \mathrm{R} & 600 \\ 2 & \mathrm{PG}-13 & 420 \\ 3 & \mathrm{PG}-13 & 323 \\ 4 & \mathrm{R} & 196 \\ 5 & \mathrm{G} & 254 \\ 6 & \mathrm{PG} & 179 \\ 7 & \mathrm{PG}-13 & 114 \\ 8 & \mathrm{R} & 205 \\ 9 & \mathrm{R} & 139 \\ 10 & \mathrm{PG} & 87 \\ \hline \end{array} $$Suppose that a single one of these viewers is randomly selected. a. What is the probability that the selected individual saw a PG movie? b. What is the probability that the selected individual saw a PG or a PG-13 movie? c. What is the probability that the selected individual did not see an R movie?

A family consisting of three people- \(\mathrm{P}_{1}, \mathrm{P}_{2}\), and \(\mathrm{P}_{3}\) \- belongs to a medical clinic that always has a physician at each of stations 1,2, and 3 . During a certain week, each member of the family visits the clinic exactly once and is randomly assigned to a station. One experimental outcome is \((1,2,1)\), which means that \(\mathrm{P}_{1}\) is assigned to station \(1 .\) \(\mathrm{P}_{2}\) to station 2, and \(\mathrm{P}_{3}\) to station 1 a. List the 27 possible outcomes. (Hint: First list the nine outcomes in which \(\mathrm{P}_{1}\) goes to station 1 , then the nine in which \(\mathrm{P}_{1}\) goes to station 2 , and finally the nine in which \(\mathrm{P}_{1}\) goes to station 3 ; a tree diagram might help.) b. List all outcomes in the event \(A\), that all three people go to the same station. c. List all outcomes in the event \(B\), that all three people go to different stations. d. List all outcomes in the event \(C\), that no one goes to station \(2 .\) e. Identify outcomes in each of the following events: \(B^{C}\), \(C^{C}, A \cup B, A \cap B, A \cap C\)

Consider the chance experiment in which an automobile is selected and both the number of defective headlights \((0,1\), or 2\()\) and the number of defective tires \((0,1\), 2,3, or 4 ) are determined. a. Display possible outcomes using a tree diagram. b. Let \(A\) be the event that at most one headlight is defective and \(B\) be the event that at most one tire is defective. What outcomes are in \(A^{C} ?\) in \(A \cup B ?\) in \(A \cap B ?\) c. Let \(C\) denote the event that all four tires are defective. Are \(A\) and \(C\) disjoint events? Are \(B\) and \(C\) disjoint?

At a large university, the Statistics Department has tried a different text during each of the last three quarters. During the fall quarter, 500 students used a book by Professor Mean; during the winter quarter, 300 students used a book by Professor Median; and during the spring quarter, 200 students used a book by Professor Mode. A survey at the end of each quarter showed that 200 students were satisfied with the text in the fall quarter, 150 in the winter quarter, and 160 in the spring quarter. a. If a student who took statistics during one of these three quarters is selected at random, what is the probability that the student was satisfied with the textbook? b. If a randomly selected student reports being satisfied with the book, is the student most likely to have used the book by Mean, Median, or Mode? Who is the least likely author? (Hint: Use Bayes' rule to compute three probabilities.)

There are two traffic lights on the route used by a certain individual to go from home to work. Let \(E\) denote the event that the individual must stop at the first light, and define the event \(F\) in a similar manner for the second light. Suppose that \(P(E)=.4, P(F)=.3\) and \(P(E \cap F)=.15\) a. What is the probability that the individual must stop at at least one light; that is, what is the probability of the event \(E \cup F ?\) b. What is the probability that the individual needn't stop at either light? c. What is the probability that the individual must stop at exactly one of the two lights? d. What is the probability that the individual must stop just at the first light? (Hint: How is the probability of this event related to \(P(E)\) and \(P(E \cap F) ?\) A Venn diagram might help.)

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