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Chapter 13 · Probability

Example 12: Three coins: which of the pairs of E, F, G are independent

ExamplesIndependent events · Section 13.4
The question

Three coins are tossed simultaneously. Consider the event E ‘three heads or three tails’, F ‘at least two heads’ and G ‘at most two heads’. Of the pairs (E,F), (E,G) and (F,G), which are independent? which are dependent?

Exam answer

The sample space is

S={HHH,HHT,HTH,THH,HTT,THT,TTH,TTT}\begin{aligned} S = \{&HHH, HHT, HTH, THH, \\ &HTT, THT, TTH, TTT\} \end{aligned}

with all 8 outcomes equally likely.

E={HHH,TTT}E = \{HHH, TTT\} F={HHH,HHT,HTH,THH}F = \{HHH, HHT, HTH, THH\} G={HHT,HTH,THH,HTT,THT,TTH,TTT}\begin{aligned} G = \{&HHT, HTH, THH, HTT, \\ &THT, TTH, TTT\} \end{aligned} E∩F={HHH}E\cap F = \{HHH\} E∩G={TTT}E\cap G = \{TTT\} F∩G={HHT,HTH,THH}F\cap G = \{HHT, HTH, THH\} P(E)=28=14,P(F)=48=12P(E) = \frac{2}{8} = \frac{1}{4},\quad P(F) = \frac{4}{8} = \frac{1}{2} P(G)=78P(G) = \frac{7}{8} P(E∩F)=18,P(E∩G)=18P(E\cap F) = \frac{1}{8},\quad P(E\cap G) = \frac{1}{8} P(F∩G)=38P(F\cap G) = \frac{3}{8}

Two events XX⁠, YY are independent if P(X∩Y)=P(X) P(Y)P(X\cap Y) = P(X)\,P(Y)⁠, and dependent if not.

Now

P(E) P(F)=14×12=18P(E)\,P(F) = \frac{1}{4}\times\frac{1}{2} = \frac{1}{8} P(E) P(G)=14×78=732P(E)\,P(G) = \frac{1}{4}\times\frac{7}{8} = \frac{7}{32} P(F) P(G)=12×78=716P(F)\,P(G) = \frac{1}{2}\times\frac{7}{8} = \frac{7}{16}

Thus P(E∩F)=P(E) P(F)P(E\cap F) = P(E)\,P(F)⁠,

P(E∩G)=18≠P(E) P(G)P(E\cap G) = \frac{1}{8} \ne P(E)\,P(G)⁠,

P(F∩G)=38≠P(F) P(G)P(F\cap G) = \frac{3}{8} \ne P(F)\,P(G)⁠.

∴\therefore E and F are independent; E and G are dependent, and F and G are dependent.

Want the reason behind every step, the basics and the checks?

The one idea this problem is built on

Run the product test once for each pair. A pair of events XX⁠, YY is independent when

P(X∩Y)=P(X) P(Y),P(X \cap Y) = P(X)\,P(Y),

and dependent when the two sides differ (Remarks (i), Section 13.4). Listing the 8 outcomes gives every number we need.

Given, to find, and the plan
Given
Three fair coins tossed together; EE⁠: three heads or three tails; FF⁠: at least two heads; GG⁠: at most two heads.
To find
Which of the pairs (E,F)(E, F)⁠, (E,G)(E, G)⁠, (F,G)(F, G) are independent and which are dependent.
Plan
List SS⁠, the three events and the three intersections; find all six probabilities; compare each intersection with the product.

Basics you need

1Three coins as ordered triples

Each coin shows H or T, so there are 2×2×2=82 \times 2 \times 2 = 8 equally likely outcomes such as HTHHTH⁠. Basics: multiply the choices

2"At least" and "at most"

"At least two heads" means 2 or 3 heads; "at most two heads" means 0, 1 or 2 heads. Basics: events as sets

3Independent and dependent events

Two events XX⁠, YY are independent if P(X∩Y)=P(X) P(Y)P(X \cap Y) = P(X)\,P(Y) (Definition 3, Section 13.4) and dependent if P(X∩Y)≠P(X) P(Y)P(X \cap Y) \ne P(X)\,P(Y) (Remarks (i)). Lesson: independent events

Solution

  1. List the sample space and the events

    S={HHH,HHT,HTH,THH,HTT,THT,TTH,TTT},\begin{aligned} S = \{&HHH, HHT, HTH, THH, \\ &HTT, THT, TTH, TTT\}, \end{aligned} E={HHH,TTT},E = \{HHH, TTT\}, F={HHH,HHT,HTH,THH},F = \{HHH, HHT, HTH, THH\}, G={HHT,HTH,THH,HTT,THT,TTH,TTT}.\begin{aligned} G = \{&HHT, HTH, THH, HTT, \\ &THT, TTH, TTT\}. \end{aligned}
    EE has the two outcomes with all coins alike. FF has the one outcome with three heads and the three with exactly two. GG is every outcome except HHHHHH⁠, since only HHHHHH has more than two heads.
  2. List the three intersections

    E∩F={HHH},E∩G={TTT},E \cap F = \{HHH\}, \quad E \cap G = \{TTT\}, F∩G={HHT,HTH,THH}.F \cap G = \{HHT, HTH, THH\}.
    E∩FE \cap F⁠: all alike and at least two heads, only HHHHHH⁠. E∩GE \cap G⁠: all alike and at most two heads, only TTTTTT⁠. F∩GF \cap G⁠: at least two and at most two heads, that is exactly two heads.
  3. Find the six probabilities

    P(E)=28=14,P(F)=48=12,P(E) = \frac{2}{8} = \frac{1}{4}, \quad P(F) = \frac{4}{8} = \frac{1}{2}, P(G)=78,P(E∩F)=18,P(G) = \frac{7}{8}, \quad P(E \cap F) = \frac{1}{8}, P(E∩G)=18,P(F∩G)=38.P(E \cap G) = \frac{1}{8}, \quad P(F \cap G) = \frac{3}{8}.
    The 8 outcomes are equally likely, so each probability is a count over 8.
  4. Test each pair

    Pair (E,F)(E, F)⁠:

    P(E) P(F)=14×12=18=P(E∩F).\begin{aligned} P(E)\,P(F) &= \frac{1}{4} \times \frac{1}{2} \\ &= \frac{1}{8} = P(E \cap F). \end{aligned}

    So EE and FF are independent.

    Pair (E,G)(E, G)⁠:

    P(E) P(G)=14×78=732,P(E)\,P(G) = \frac{1}{4} \times \frac{7}{8} = \frac{7}{32}, P(E∩G)=18=432.P(E \cap G) = \frac{1}{8} = \frac{4}{32}.

    Since 432≠732\frac{4}{32} \ne \frac{7}{32}⁠, EE and GG are dependent.

    Pair (F,G)(F, G)⁠:

    P(F) P(G)=12×78=716,P(F)\,P(G) = \frac{1}{2} \times \frac{7}{8} = \frac{7}{16}, P(F∩G)=38=616.P(F \cap G) = \frac{3}{8} = \frac{6}{16}.

    Since 616≠716\frac{6}{16} \ne \frac{7}{16}⁠, FF and GG are dependent.

    HHH HHT HTH THH HTT THT TTH TTT E 2/8 F 4/8 G 7/8 E ∩ F = {HHH}: 1/8 = (2/8)(4/8), independent E ∩ G = {TTT}: 1/8, but (2/8)(7/8) = 7/32 F ∩ G: 3/8, but (4/8)(7/8) = 7/16
    Which outcomes lie in EE⁠, FF and GG⁠. Reading down a column shows the intersections; only the pair EE⁠, FF passes the product test.
    Writing both numbers over a common denominator (32 or 16) makes each comparison exact. Equal means independent (Definition 3); unequal means dependent (Remarks (i)).
    Definition 3 and Remarks (i), Section 13.4. Lesson: independent events
Result

E and F are independent; E and G are dependent, and F and G are dependent.

(Textbook answer: the events (E and F) are independent, and the events (E and G) and (F and G) are dependent.)

Check it with numbers

By conditional probability. P(E∣F)=n(E∩F)n(F)=14=P(E)P(E|F) = \frac{n(E \cap F)}{n(F)} = \frac{1}{4} = P(E)⁠, so knowing FF does not change the chance of EE⁠. But P(E∣G)=n(E∩G)n(G)=17P(E|G) = \frac{n(E \cap G)}{n(G)} = \frac{1}{7}⁠, which is not P(E)=14P(E) = \frac{1}{4}⁠; and P(F∣G)=n(F∩G)n(G)=37P(F|G) = \frac{n(F \cap G)}{n(G)} = \frac{3}{7}⁠, which is not P(F)=12P(F) = \frac{1}{2}⁠.

Decimals. P(E) P(G)=732≈0.2188P(E)\,P(G) = \frac{7}{32} \approx 0.2188 against P(E∩G)=0.125P(E \cap G) = 0.125⁠; P(F) P(G)=716=0.4375P(F)\,P(G) = \frac{7}{16} = 0.4375 against P(F∩G)=0.375P(F \cap G) = 0.375⁠.

Why (F,G)(F, G) is dependent. Knowing "at most two heads" rules out HHHHHH⁠, which is in FF⁠, so it makes "at least two heads" less likely: 37<12\frac{3}{7} < \frac{1}{2}⁠.

Common mistakes
  1. Mixing up "at least two" and "at most two". At least two heads: 2 or 3 heads (4 outcomes). At most two heads: 0, 1 or 2 heads (7 outcomes).
  2. Forgetting TTTTTT in E∩GE \cap G⁠. TTTTTT has no heads, so it is in GG⁠.
  3. Calling EE and FF dependent because they share HHHHHH⁠. Sharing outcomes does not decide independence; the product test does.
What to take away
  1. For several pairs, find all the single and "both" probabilities once, then test each pair.
  2. Use common denominators so that "equal" or "not equal" is certain.
  3. State each verdict in words, as the question asks. For a one-card version of this question, see Exercise 13.2, Question 15.

Every fact used, and where it comes from

FactUsed inSource
2×2×2=82 \times 2 \times 2 = 8 outcomesStep 1Counting principle, Class XI (Basics: multiply the choices)
P(E)=n(E)n(S)P(E) = \frac{n(E)}{n(S)} for equally likely outcomesStep 3Class XI, Probability (Basics: the classical definition)
XX⁠, YY independent if P(X∩Y)=P(X) P(Y)P(X \cap Y) = P(X)\,P(Y)Step 4Definition 3, Section 13.4 (Lesson: independent events)
XX⁠, YY dependent if P(X∩Y)≠P(X) P(Y)P(X \cap Y) \ne P(X)\,P(Y)Step 4Remarks (i), Section 13.4
P(X∣Y)=n(X∩Y)n(Y)P(X|Y) = \frac{n(X \cap Y)}{n(Y)}⁠; independence as P(X∣Y)=P(X)P(X|Y) = P(X)CheckSection 13.2, equation (1); Definition 2, Section 13.4
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