What is the probability of getting exactly \[3\] tails
Answer
548.1k+ views
Hint: In the given question we have to collect the favorable number of outcomes from the sample space of tossing the three coins . After getting the favorable outcomes we will use the formula \[P\left( E \right) = \dfrac{{favorable{\text{ outcomes}}}}{{Total{\text{ number outcomes}}}}\] for getting the required probability , where \[\left( E \right)\] is the event occurred .
Complete step-by-step answer:
In this question we will consider that \[3\] coins to be tossed simultaneously .
Let \[\left( E \right)\] be the event of tossing the coins .
So , the sample space for \[3\] coins to be tossed simultaneously will be given as :
\[S = \left\{ {HHH,HHT,HTH,THH,TTT,TTH,THT,HTT} \right\}\] . Therefore , we have total \[8\] outcomes .
From the above sample space we have to look for the favorable outcome . So , on observing we get only one outcome as favorable .
Therefore , the number of favorable outcomes will be \[ = 1\] .
The required probability of getting exactly \[3\] tails will be
\[P\left( E \right) = \dfrac{{favorable{\text{ outcomes}}}}{{Total{\text{ number outcomes}}}}\]
On putting the values we get ,
\[P\left( E \right) = \dfrac{1}{8}\] .
Therefore , the required probability is \[\dfrac{1}{8}\].
Note: The set of all the possible outcomes of a random experiment is called the sample space associated with it and it is generally denoted by \[S\] . If a random experiment is performed , then each of its outcomes is known as elementary events also known as possible outcomes . Probability is a measure of the likeliness of an event to occur. Many events that cannot be predicted with total certainty , in that event we can predict only the chance of an event to occur i.e. how likely they are to happen, using probability . Probability can vary from 0 to 1 , where 0 means the event to be an impossible one and 1 indicates a certain event .
Complete step-by-step answer:
In this question we will consider that \[3\] coins to be tossed simultaneously .
Let \[\left( E \right)\] be the event of tossing the coins .
So , the sample space for \[3\] coins to be tossed simultaneously will be given as :
\[S = \left\{ {HHH,HHT,HTH,THH,TTT,TTH,THT,HTT} \right\}\] . Therefore , we have total \[8\] outcomes .
From the above sample space we have to look for the favorable outcome . So , on observing we get only one outcome as favorable .
Therefore , the number of favorable outcomes will be \[ = 1\] .
The required probability of getting exactly \[3\] tails will be
\[P\left( E \right) = \dfrac{{favorable{\text{ outcomes}}}}{{Total{\text{ number outcomes}}}}\]
On putting the values we get ,
\[P\left( E \right) = \dfrac{1}{8}\] .
Therefore , the required probability is \[\dfrac{1}{8}\].
Note: The set of all the possible outcomes of a random experiment is called the sample space associated with it and it is generally denoted by \[S\] . If a random experiment is performed , then each of its outcomes is known as elementary events also known as possible outcomes . Probability is a measure of the likeliness of an event to occur. Many events that cannot be predicted with total certainty , in that event we can predict only the chance of an event to occur i.e. how likely they are to happen, using probability . Probability can vary from 0 to 1 , where 0 means the event to be an impossible one and 1 indicates a certain event .
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