Exercise 13.3 · Q13 (MCQ): Speaks the truth with : head actually appeared,
Probability that A speaks truth is . A coin is tossed. A reports that a head appears. The probability that actually there was head is
(A) (B) (C) (D)
Let : a head appears, : a tail appears, and : A reports a head. and form a partition of the sample space (a toss gives exactly one of them).
(fair coin), and .
By Bayes' theorem,
Answer: (A)
Want the reason behind every step, the basics and the checks?
The report "head" can come from a true head (A tells the truth) or from a tail (A lies). Bayes' theorem compares the two routes. Because the coin gives head and tail equally often, the comparison is just truth against lie, 4 to 1, so the answer is the probability of telling the truth, .
- Given
- A speaks the truth with probability . A coin is tossed (taken as fair) and A reports a head.
- To find
- The probability that a head actually appeared, given the report: , and which option it is.
- Plan
- (1) Name the events; check the partition. (2) The four probabilities, including the chance of a lie. (3) Total probability for . (4) Bayes' theorem. (5) Examine every option.
Basics you need
If A speaks the truth with probability , A lies with probability . Basics: rules of probability
After a head, A reports a head only by telling the truth: . After a tail, A reports a head only by lying: . Lesson: conditional probability
For a partition : and . Lesson: Bayes' theorem
Solution
Name the events
Let
- : a head appears on the coin;
- : a tail appears on the coin;
- : A reports that a head appears.
and form a partition of the sample space: a toss gives exactly one of head and tail, and each is possible.
What the coin really shows is the hidden cause; A's report is the result we observe. We write for the report because the letter A already names the person.Partition: pairwise disjoint, exhaustive, nonzero probabilities (Section 13.5.1). Lesson: Bayes' theoremThe four probabilities
The coin is taken as fair, as usual when nothing else is said. If a head appeared, A reports a head exactly when A tells the truth. If a tail appeared, A reports a head exactly when A lies. A's chance of telling the truth is taken to be whatever the coin shows.The chance that A reports a head
Since and form a partition, by the theorem of total probability
The tree for Question 13. The rose path (a head, then a true report) has product ; the green path (a tail, then a false report of a head) has . Together, . A report of a head comes either from a head and the truth or from a tail and a lie, never both, so the two path probabilities add.Multiply along a path, add the paths. Basics: tree diagramsA head, given the report: Bayes' theorem
By Bayes' theorem,
The top is the "true head" path; the bottom is both routes to the report. The answer equals A's chance of telling the truth only because the coin is fair: with , the halves cancel and .Dividing by a fraction is multiplying by its flip. Basics: dividing by a fractionExamine every option
- (A) : equals from Step 4. Correct.
- (B) : this is , the chance of a head before the report is heard. It ignores the report, which is evidence for a head. Wrong.
- (C) : this is , the chance that A lies; it is also , the chance that there was a tail after all. Wrong.
- (D) : this is , the probability of the path "head and a true report", . It forgets to divide by . Wrong.
Each wrong option is a number that appears on the way to the answer, which is why it is offered. Only the conditional probability answers "given that A reports a head".
The probability that there actually was a head is : option (A). (Textbook answer: (A).)
Picture 100 tosses. About 50 are heads, and A truthfully reports a head on of them. About 50 are tails, and A falsely reports a head on of them. So A reports a head times, and 40 of these were real heads: , the same as .
- Choosing (D). is the joint probability ; a conditional probability must be divided by .
- Choosing (B). The report changes the chance of a head; is the chance before the report.
- Forgetting the lie route. A can report a head after a tail, with probability ; leaving it out makes the bottom , the same as the top, and gives a "probability" of 1.
- Thinking the answer is always the truth probability. It is here only because the coin is fair; with a die and a six it is different (book Example 21 gets from a truth probability of ).
- For "reports that…" questions, the two routes to the report are "it happened and the speaker tells the truth" and "it did not happen and the speaker lies".
- When the two causes are equally likely, Bayes' theorem reduces to comparing with : here 4 to 1.
- Compare book Example 21 (a die and a six, Examples 15 to 21), where an unlikely event keeps the answer far below the truth probability, and Question 5, the blood test.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Partition of a sample space | Step 1 | Section 13.5.1 (Lesson: Bayes' theorem) |
| Step 2 | Class XI axioms (Basics: rules of probability) | |
| Conditional probability | Steps 2, 5 | Section 13.2 (Lesson: conditional probability) |
| Theorem of total probability | Step 3 | Section 13.5.2 (Lesson: Bayes' theorem) |
| Bayes' theorem | Steps 4, 5 | Section 13.5; Example 21 is a truth-teller with a die (Examples 15 to 21) |
| Dividing by a fraction | Step 4 | Arithmetic (Basics: dividing by a fraction) |
Tell us if something on this page is wrong or unclear, or if you would like a fuller explanation, another method or a new feature. Send feedback on this problem →