An unbiased coin is tossed $n$ times. The probability of getting at least one tail is $p$ and the probability of at least two tails is $q$ and $p-q = \frac{5}{32}$.
The problem involves calculating probabilities related to tossing an unbiased coin \(n\) times. We are given definitions for two probabilities:
To find \(p\), we consider the complementary event: getting no tails at all, which means getting all heads. Since the coin is unbiased, the probability of getting heads on a single toss is \(\frac{1}{2}\). For \(n\) tosses, the probability of getting all heads is \((\frac{1}{2})^n\).
Therefore, the probability of getting at least one tail, \(p\), is:
\(p = 1 - P(\text{all heads}) = 1 - (\frac{1}{2})^n\)
To find \(q\), the probability of getting at least two tails, we consider the complementary event: getting zero tails or exactly one tail.
The probability of getting zero tails (\(P(T_0)\)) is the same as getting all heads, which is \((\frac{1}{2})^n\).
The probability of getting exactly one tail (\(P(T_1)\)) can be calculated using the binomial probability formula. There are \(\binom{n}{1}\) ways to choose the position for the single tail, and the probability for each specific sequence (like T H H...) is \((\frac{1}{2})^n\).
\(P(T_1) = \binom{n}{1} (\frac{1}{2})^n = n (\frac{1}{2})^n\)
So, the probability \(q\) is:
\(q = 1 - [P(\text{zero tails}) + P(\text{one tail})]\) \(q = 1 - [(\frac{1}{2})^n + n (\frac{1}{2})^n]\)
Factoring out \((\frac{1}{2})^n\):
\(q = 1 - (\frac{1}{2})^n (1+n)\)
We are given the equation \(p - q = \frac{5}{32}\). Substitute the derived expressions for \(p\) and \(q\):
\([1 - (\frac{1}{2})^n] - [1 - (\frac{1}{2})^n (1+n)] = \frac{5}{32}\)
Now, simplify the equation by removing the brackets and combining terms:
\(1 - (\frac{1}{2})^n - 1 + (\frac{1}{2})^n (1+n) = \frac{5}{32}\)
The '1's cancel out:
\((\frac{1}{2})^n (1+n) - (\frac{1}{2})^n = \frac{5}{32}\)
Factor out the common term \((\frac{1}{2})^n\):
\((\frac{1}{2})^n [(1+n) - 1] = \frac{5}{32}\)
Simplify the expression inside the brackets:
\((\frac{1}{2})^n [n] = \frac{5}{32}\)
This can be written as:
\(\frac{n}{2^n} = \frac{5}{32}\)
To find the value of \(n\), we can test small positive integer values since \(n\) represents the number of tosses:
So, the number of coin tosses is \(n=5\).
With \(n=5\), we can now calculate the specific values for \(p\) and \(q\):
\(p = 1 - (\frac{1}{2})^5 = 1 - \frac{1}{32} = \frac{31}{32}\)
\(q = 1 - (\frac{1}{2})^5 (1+5) = 1 - (\frac{1}{32})(6) = 1 - \frac{6}{32} = \frac{26}{32} = \frac{13}{16}\)
The question asks for the value of \(p + q\).
\(p + q = \frac{31}{32} + \frac{13}{16}\)
To add these fractions, we need a common denominator, which is 32. Convert \(\frac{13}{16}\) to an equivalent fraction with a denominator of 32:
\(\frac{13}{16} = \frac{13 \times 2}{16 \times 2} = \frac{26}{32}\)
Now, add the fractions:
\(p + q = \frac{31}{32} + \frac{26}{32} = \frac{31 + 26}{32}\)
\(p + q = \frac{57}{32}\)
Therefore, the value of \(p + q\) is \(\frac{57}{32}\).
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