Math, asked by kanubhaimakwana40, 2 months ago

37
In binomial probability distribution, if n=3 and p=0.5
then P(X=1) =
0.3
In binomis orohobi​

Answers

Answered by pulakmath007
4

SOLUTION

GIVEN

In binomial probability distribution n = 3 and p = 0.5

TO DETERMINE

P(X=1)

CONCEPT TO BE IMPLEMENTED

If a trial is repeated n times and p is the probability of a success and q that of failure then the probability of r successes is

 \displaystyle \sf{  \sf{P(X=r) =  \:  \: }\large{ {}^{n} C_r}\:  {p}^{r}  \:  \:  {q}^{n - r} } \:  \:  \:  \:  \: where \: q \:  = 1 - p

EVALUATION

Here it is given that in a binomial probability distribution n = 3 and p = 0.5

We know that

 \displaystyle \sf{  \sf{P(X=r) =  \:  \: }\large{ {}^{n} C_r}\:  {p}^{r}  \:  \:  {q}^{n - r} } \:  \:  \:  \:  \: where \: q \:  = 1 - p

Now

 \displaystyle \sf{  \sf{P(X=1) =  \:  \: }\large{ {}^{3} C_1}\:  {(0.5)}^{1}  \:  \:  {(1 - 0.5)}^{3 - 1} }

 \displaystyle \sf{ \implies  P(X=1) =  3 \times \:  {(0.5)}^{1}   \times   {( 0.5)}^{2} }

 \displaystyle \sf{ \implies  P(X=1) =  3 \times \:  {(0.5)}^{3}    }

 \displaystyle \sf{ \implies  P(X=1) =  3 \times \: 0.125 }

 \displaystyle \sf{ \implies  P(X=1) =  0.375 }

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