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Question: In a fair at a game stall, slips with numbers 3,3,5,7,7,7,9,9,9, and 11 are placed in a lot. A perso...

In a fair at a game stall, slips with numbers 3,3,5,7,7,7,9,9,9, and 11 are placed in a lot. A person wins if the mean of the numbers is written on the slip drawn. If the draw is uniform and random, determine the probability of losing.

Explanation

Solution

Find the mean of the numbers using the fact that mean is equal to the ratio of the sum of all observations to the number of all observations. Assume that E is the event of drawing out the mean of the numbers. Use the fact that the probability of an event E is given by P(E)=n(E)n(S)P\left( E \right)=\dfrac{n\left( E \right)}{n\left( S \right)} where n(E) is the number of cases favourable to E and n(S) is the total number of cases. Hence find the probability of drawing out the mean of the numbers.

Complete step-by-step solution:
We know that mean is equal to the ratio of the sum of all observations to the number of all observations.
Let μ\mu be the mean of the numbers.
Hence, we have
μ=3+3+5+7+7+7+9+9+9+1110=7\mu =\dfrac{3+3+5+7+7+7+9+9+9+11}{10}=7
Let E be the event that the number drawn is equal to the mean of the numbers (7). Hence, we have
E=\left\\{ 7,7,7 \right\\}.
Also, we have
S=\left\\{ 3,3,5,7,7,7,9,9,9,11 \right\\}
We know that if E is the event then the probability of the event is given by P(E)=n(E)n(S)P\left( E \right)=\dfrac{n\left( E \right)}{n\left( S \right)}
Hence, we have
P(E)=310=0.3P\left( E \right)=\dfrac{3}{10}=0.3
Hence the probability of winning the game is 0.3
We know that P(E)+P(E)=1P\left( E \right)+P\left( E' \right)=1
Hence, we have
P(E)=1P(E)=10.3=0.7P\left( E' \right)=1-P\left( E \right)=1-0.3=0.7
Hence the probability of losing the game is 0.7

Note: [1] Drawing out uniformly is necessary for the application of the formula P(E)=n(E)n(S)P\left( E \right)=\dfrac{n\left( E \right)}{n\left( S \right)}. If the draw is not uniform, then there is a bias factor in the drawing. Such cases are solved using conditional probability
[2] The sum of probabilities of an event and its complement is 1. This formula is very useful when it is difficult to calculated P(E) but P(E’) can be easily calculated.