Two integers x and y are chosen with replacement from the set (0, 1, 2…10). The probability that |x - y| > 5 is
The problem asks for the probability that the absolute difference between two integers, x and y, is greater than 5 when they are chosen with replacement from the set S = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}.
The set S contains 11 integers (from 0 to 10, inclusive). Since x and y are chosen with replacement, the choice of x does not affect the choice of y, and both can be any value from the set S.
The total number of possible ordered pairs (x, y) is the number of elements in S multiplied by itself:
\(\text{Total Outcomes} = \text{|S|} \times \text{|S|} = 11 \times 11 = 121\).
We are interested in the event where \(\vert x - y \vert > 5\). The absolute difference \(\vert x - y \vert\) being greater than 5 means the difference between x and y is at least 6 in magnitude. This condition is satisfied if either \(x - y > 5\) or \(y - x > 5\).
Since x and y are integers, \(x - y > 5\) is equivalent to \(x - y \ge 6\), and \(y - x > 5\) is equivalent to \(y - x \ge 6\).
Let's find the pairs (x, y) that satisfy these conditions:
In this case, x must be at least 6 greater than y. We can list the possible pairs by fixing y and finding the possible values of x:
The total number of favorable outcomes for \(x - y \ge 6\) is \(5 + 4 + 3 + 2 + 1 = 15\).
In this case, y must be at least 6 greater than x. This situation is symmetric to Case 1. We can list the possible pairs by fixing x and finding the possible values of y:
The total number of favorable outcomes for \(y - x \ge 6\) is \(5 + 4 + 3 + 2 + 1 = 15\).
The two conditions, \(x - y \ge 6\) and \(y - x \ge 6\), represent mutually exclusive events (a pair like (8,1) satisfies the first but not the second, and (1,8) satisfies the second but not the first). Therefore, the total number of favorable outcomes for \(\vert x - y \vert > 5\) is the sum of the outcomes from Case 1 and Case 2.
\(\text{Total Favorable Outcomes} = 15 (\text{for } x - y \ge 6) + 15 (\text{for } y - x \ge 6) = 30\).
The probability of the event \(\vert x - y \vert > 5\) is calculated by dividing the number of favorable outcomes by the total number of possible outcomes:
\(\text{Probability} = \frac{\text{Total Favorable Outcomes}}{\text{Total Outcomes}}\)
\(\text{Probability} = \frac{30}{121}\)
| Condition | Number of Favorable Outcomes (Pairs) |
|---|---|
| \(x - y \ge 6\) | 15 |
| \(y - x \ge 6\) | 15 |
| Total \(\vert x - y \vert > 5\) | 30 |
Thus, the probability that \(\vert x - y \vert > 5\) when x and y are chosen with replacement from {0, 1, ..., 10} is \(\frac{30}{121}\).
| Concept | Explanation |
|---|---|
| Sample Space (\(\Omega\)) | The set of all possible results or outcomes of an experiment. For choosing two numbers with replacement from a set of size n, the sample space size is \(n^2\). |
| Event (E) | A subset of the sample space; the specific outcome or set of outcomes we are interested in. Here, E is the set of pairs (x,y) where \(\vert x - y \vert > 5\). |
| Favorable Outcomes (\(|E|\)) | The number of outcomes in the event E. We counted these by considering cases \(x-y \ge 6\) and \(y-x \ge 6\). |
| Probability (P(E)) | The measure of the likelihood that an event will occur. Calculated as \(\frac{\text{Number of Favorable Outcomes}}{\text{Total Number of Outcomes}}\) or \(\frac{|E|}{|\Omega|}\). |
| With Replacement | Each selection is independent; the chosen element is returned to the set before the next selection. This is key to calculating the total outcomes as \(11 \times 11\). |
This problem is an example of discrete uniform probability because every possible outcome (each pair (x,y)) in the sample space is equally likely. The set of possible outcomes is discrete (a finite set of integer pairs).
In general, for a discrete uniform probability space, if there are \(N\) total possible outcomes and \(M\) favorable outcomes for an event E, the probability of event E is given by:
\(P(E) = \frac{M}{N}\)
For this question:
This method of listing favorable pairs based on the condition is a direct way to solve such discrete probability problems.
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