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Question: Suppose that \(A\) and \(B\) are events with probabilities \(p(A) = 3/4\) and \(p(B) = 3/4\).

a) What is the largest \(p(A \cap B)\) can be? What is the smallest it can be? Give examples to show that both extremes for \(p(A \cap B)\) are possible.

b) What is the largest \(p(A \cup B)\) can be? What is the smallest it can be? Give examples to show that both extremes for \(p(A \cup B)\) are possible.

Short Answer

Expert verified

Answer

a) The two extremes are \(\frac{1}{3}\) and \(\frac{1}{{12}}\).

b) The two extremes are \(1\) and \(\frac{3}{4}\).

Step by step solution

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01

Given data 

The probabilities of \(A\) and \(B\) are \(P(A) = \frac{3}{4}\) and \(P(B) = \frac{1}{3}\).

02

Concept of Probability 

Probability is simply how likely something is to happen. Whenever we’re unsure about the outcome of an event, we can talk about the probabilities of certain outcomes—how likely they are. The analysis of events governed by probability is called statistics.

Formula:

The probability \( = \frac{{{\rm{ favorable outcomes }}}}{{{\rm{ total outcomes }}}}\)

03

Calculation for the largest \(p(A \cap B)\) 

a)

It knows that \((A \cap B) \subseteq A\) and \((A \cap B) \subseteq B\).

So, \(P(A \cap B) \le P(A)\) and \(P(A \cap B) \le P(B)\) hence \(P(A \cap B) \le \frac{3}{4}\) and \(P(A \cap B) \le \frac{1}{3}\).

Thus, it is written as \(P(A \cap B) \le \frac{1}{3}\).

Hence the maximum value of \(P(A \cap B)\) is \(\frac{1}{3}\).

For an example of when this happens consider the experiment of rolling a pair of fair dice having \(6\) numbers, let \({\rm{A}}\) be the event comprising of the pairs of numbers such that sum of them is either \(4\;,\;5\;,\;6\;,\;7\;,\;8\)or \(9\). Let \(B\) be the event comprising of the ordered pairs such that sum of the numbers is \(4\;,\;5\)or \(6\).

It can be verified that \(B \subset A,P(A) = \frac{3}{4},P(B) = \frac{1}{3}\) and \(P(A \cap B) = \frac{1}{3}\).

It knows that \(P(A \cup B) = P(A) + P(B) - P(A \cap B)\).

The probability of any event is at most \(1\) so, we have that \(P(A \cup B) \le 1\).

Hence, \(P(A) + P(B) - P(A \cap B) \le 1\).

That is \(P(A \cap B) \ge P(A) + P(B) - 1\).

So, the minimum value of \(P(A \cap B)\) is \(\frac{1}{{12}}\).

For an example of when this happens consider the experiment of rolling a pair of fair dice having \(6\) numbers, let \(A\) be the event comprising of the pairs of numbers such that sum of them is either \(4\;,\;5\;,\;6\;,\;7\;,\;8\) or \(9\). Let \(B\) be the event comprising of the ordered pairs such that sum of the numbers is \(2\;,\;3\;,\;4\;,\;10\;,\;11\) or \(12\). It can be verified that \(P(A) = \frac{3}{4},P(B) = \frac{1}{3}\) and \(P(A \cap B) = \frac{1}{{12}}\).

04

Calculation for the largest \(p(A \cup B)\)

b)

Since, \(P(A) + p(B) = \frac{{13}}{{12}} > 1\) hence the maximum value of \(P(A \cup B)\) is \(1\).

For an example of when this happens consider the experiment of rolling a pair of fair dice having \(6\) numbers, let \({\rm{A}}\) be the event comprising of the pairs of numbers such that sum of them is either \(4\;,\;5\;,\;6\;,\;7\;,\;8\) or \(9\). Let \(B\) be the event comprising of the ordered pairs such that sum of the numbers is \(2\;,\;3\;,\;4\;,\;10\;,\;11\) or \(12\). It can be verified that \(P(A) = \frac{3}{4},P(B) = \frac{1}{3}\) and \(P(A \cup B) = 1\).

\((A \cup B) \supseteq A\)and \((A \cup B) \supseteq B\)

So, \(P(A \cup B) \ge P(A)\) and \(P(A \cup B) \ge P(B)\). Thus, \(P(A \cup B) \ge \frac{3}{4}\).

Thus, the smallest value of \(P(A \cup B)\) is \(\frac{3}{4}\).

For an example of when this happens consider the experiment of rolling a pair of fair dice having 6 numbers, let \(A\) be the event comprising of the pairs of numbers such that sum of them is either \(4\;,\;5\;,\;6\;,\;7\;,\;8\) or \(9\). Let \(B\) be the event comprising of the ordered pairs such that sum of the numbers is \(4\;,\;5\) or \(6\). It can be verified that \(B \subset A\;,\;P(A) = \frac{3}{4}\;,\;P(B) = \frac{1}{3}\) and \(P(A \cup B) = \frac{3}{4}\).

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Most popular questions from this chapter

Question: Suppose that Frida selects a ball by first picking one of two boxes at random and then selecting a ball from this box at random. The first box contains two white balls and three blue balls, and the second box contains four white balls and one blue ball. What is the probability that Frida picked a ball from the first box if she has selected a blue ball?

Question: Suppose that EandFare events in a sample space andp(E)=23,p(F)=34,and p(FE)=58. Findp(EF).

Question: What is the expected number of heads that come up when a fair coin is flipped five times?

Question: A pair of dice is loaded. The probability that a 4appears on the first die is2/7 , and the probability that a 3appears on the second die is2/7. Other outcomes for each die appear with probability1/7 . What is the probability of 7 appearing as the sum of the numbers when the two dice are rolled?

Question: Prove Theorem \(2\), the extended form of Bayes’ theorem. That is, suppose that \(E\) is an event from a sample space \(S\) and that \({F_1},{F_2},...,{F_n}\) are mutually exclusive events such that \(\bigcup\nolimits_{i = 1}^n {{F_i} = S} \). Assume that \(p\left( E \right) \ne 0\) and \(p\left( {{F_i}} \right) \ne 0\) for \(i = 1,2,...,n\). Show that

\(p\left( {{F_j}\left| E \right.} \right) = \frac{{p\left( {E\left| {{F_j}} \right.} \right)p\left( {{F_j}} \right)}}{{\sum\nolimits_{i = 1}^n {p\left( {E\left| {{F_i}} \right.} \right)p\left( {{F_i}} \right)} }}\)

(Hint: use the fact that \(E = \bigcup\nolimits_{i = 1}^n {\left( {E \cap {F_i}} \right)} \).)

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