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Hint: To be able to answer this question one must know the general definition and explanation of what probability is. Then the examples being answered must also be applicable to real life and be seen in daily life.
Complete step-by-step answer:
Some of the real life examples of probability are:
1. Flipping a coin or rolling a dice
When you flip a coin there is no surety that whether its outcome will be heads or tails it could be either both have fifty percent chances to occur. Similarly when playing a board game with a dice we cannot predict which number will the dice roll to it could be anything from the six numbers. All of the numbers having equal probability that the dice will roll to it.
2. Rate of dying
Now we can say that the rate of accidents is increasing therefore the probability of a person dying because of accidents increases too. Let's say among a group of \[10\] lakh people \[3000\] die through an accident. Hence the probability of someone dying through an accident will be \[0.003\] .
3. Lottery tickets
Winning or losing a lottery is also determined by probability. Out of the multiple people that applied the probability of winning a lottery will be one out of the total lotteries sold while of losing will be way higher
So, the correct answer is “Option B”.
Note: Probability can be explained in easy words that it is any possibility. It is the likelihood that a particular event could occur or not. Since there isn’t always certainty that a particular event would definitely occur or not we can only predict or check the possibility of it occurring. Probability can range anywhere from \[0\] to \[1\] . \[0\] meaning that it is impossible for the event to occur and \[1\] meaning that the event is certain. We must also know that the probability of all events in a sample space must always add up to 1.
Complete step-by-step answer:
Some of the real life examples of probability are:
1. Flipping a coin or rolling a dice
When you flip a coin there is no surety that whether its outcome will be heads or tails it could be either both have fifty percent chances to occur. Similarly when playing a board game with a dice we cannot predict which number will the dice roll to it could be anything from the six numbers. All of the numbers having equal probability that the dice will roll to it.
2. Rate of dying
Now we can say that the rate of accidents is increasing therefore the probability of a person dying because of accidents increases too. Let's say among a group of \[10\] lakh people \[3000\] die through an accident. Hence the probability of someone dying through an accident will be \[0.003\] .
3. Lottery tickets
Winning or losing a lottery is also determined by probability. Out of the multiple people that applied the probability of winning a lottery will be one out of the total lotteries sold while of losing will be way higher
So, the correct answer is “Option B”.
Note: Probability can be explained in easy words that it is any possibility. It is the likelihood that a particular event could occur or not. Since there isn’t always certainty that a particular event would definitely occur or not we can only predict or check the possibility of it occurring. Probability can range anywhere from \[0\] to \[1\] . \[0\] meaning that it is impossible for the event to occur and \[1\] meaning that the event is certain. We must also know that the probability of all events in a sample space must always add up to 1.
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