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Determine whether the statement is true or false. If it is true, explain why it is true. If it is false, give an example to show why it is false. If \(A\) is a subset of \(B\) and \(P(B)=0\), then \(P(A)=0\).

Short Answer

Expert verified
The statement is true. If \(A\) is a subset of \(B\) and \(P(B) = 0\), then \(P(A) = 0\) because the condition \(P(A) \le P(B)\) is satisfied, and probabilities cannot be negative.

Step by step solution

01

Recall the definition of a subset

A set \(A\) is a subset of a set \(B\) if every element of \(A\) is also an element of \(B\). In other words, \(A \subseteq B\) means that if \(x \in A\), then \(x \in B\).
02

Recall the properties of probabilities

Probabilities are values that range from 0 to 1, i.e., \(0 \le P(E) \le 1\) where E represents any event. Additionally, if an event is a subset of another event, the probability of the first event cannot be greater than the probability of the second event. In other words, if \(A \subseteq B\), then \(P(A) \le P(B)\).
03

Apply the properties of probabilities to the given statement

Now we can apply these properties to the given statement. If \(A\) is a subset of \(B\) and \(P(B) = 0\), then, since probabilities cannot be negative, the only possible value for \(P(A)\) that satisfies the condition \(P(A) \le P(B)\) is \(P(A) = 0\).
04

Conclusion

Therefore, the statement is true. If \(A\) is a subset of \(B\) and \(P(B) = 0\), then \(P(A) = 0\).

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Key Concepts

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

Understanding Subsets
The idea of a subset is a fundamental concept in set theory and plays a crucial role in probability theory. When we say that a set \(A\) is a subset of another set \(B\), it means that every element in \(A\) is also in \(B\). We can express this relationship using the symbol \(A \subseteq B\). Think of it like a basket within a larger basket; everything in the smaller basket can also be found in the larger one.

Here are a few points to make it clearer:
  • If \(x \in A\), then it must follow that \(x \in B\).
  • Even if \(A\) has no elements (i.e., it is an empty set), it is still considered a subset of \(B\).
  • This relationship is central in the fields of mathematics and helps to establish the characteristics shared between different sets.
By understanding that \(A\) is contained within \(B\), we can start exploring how this affects probabilities and other mathematical properties.
Exploring Probability Properties
Probabilities measure how likely an event is to occur and range from 0 to 1. These numbers provide a clear boundary; \(0\) indicates impossibility, while \(1\) indicates certainty. When it comes to subsets in probability, there are some important properties to remember.

The key property is that for any events \(A\) and \(B\), if \(A\) is a subset of \(B\) (\(A \subseteq B\)), the probability of \(A\) cannot exceed the probability of \(B\). Mathematically, this is expressed as:
  • \(P(A) \le P(B)\)
If the probability of \(B\) is \(0\), meaning \(B\) cannot occur, any subset of \(B\), must also have a probability of \(0\). Therefore, \(P(A) = 0\) when \(P(B) = 0\), ensuring consistency in probability calculations and rules.
Basic Elements of Set Theory
Set theory provides the language and principles for discussing collections of objects, referred to as sets. It is the foundation upon which many areas of mathematics are built, including probability theory.

At its core, set theory deals with the classification and relationships of groups of objects. Here's a quick rundown of some essential points:
  • A **set** is a collection of distinct objects, considered as an object in its own right.
  • Sets can include anything: numbers, symbols, or even other sets, with no repeated elements.
  • The **empty set**, denoted \(\emptyset\), is a vital concept which represents a set with no elements.
  • Understanding relationships like union, intersection, and subset helps structure complex mathematical ideas.
These basic concepts empower the study of probability by establishing a framework to define and analyze events, such as when determining subset relationships and calculating the likelihood of events.

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Most popular questions from this chapter

An experiment consists of selecting a card at random from a 52-card deck. Refer to this experiment and find the probability of the event. A red face card is drawn.An ace is not drawn.

Explain why the statement is incorrect. A red die and a green die are tossed. The probability that a 6 will appear uppermost on the red die is \(\frac{1}{6}\), and the probability that a 1 will appear uppermost on the green die is \(\frac{1}{6}\). Hence, the probability that the red die will show a 6 or the green die will show a 1 is \(\frac{1}{6}+\frac{1}{6}\).

A pair of dice is rolled, and the number that appears uppermost on each die is observed. Refer to this experiment and find the probability of the given event. The sum of the numbers is either 7 or 11 .

Human blood is classified by the presence or absence of three main antigens (A, B, and Rh). When a blood specimen is typed, the presence of the \(\mathrm{A}\) and/or \(\mathrm{B}\) antigen is indicated by listing the letter \(A\) and/or the letter \(B\). If neither the A nor B antigen is present, the letter \(\mathrm{O}\) is used. The presence or absence of the \(\mathrm{Rh}\) antigen is indicated by the symbols \(+\) or \(-\), respectively. Thus, if a blood specimen is classified as \(\mathrm{AB}^{+}\), it contains the \(\mathrm{A}\) and the \(\mathrm{B}\) antigens as well as the \(\mathrm{Rh}\) antigen. Similarly, \(\mathrm{O}^{-}\) blood contains none of the three antigens. Using this information, determine the sample space corresponding to the different blood groups.

List the simple events associated with each experiment. As part of a quality-control procedure, eight circuit boards are checked, and the number of defective boards is recorded.

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