Respuesta :
σ ² = npq = np(1-p) = 1680*(0.57)*(1-0.57) = 411.768
=>
σ = sqrt(411.768) = 20.292 (to the nearest thousandth).
=>
σ = sqrt(411.768) = 20.292 (to the nearest thousandth).
The standard deviation, [tex]\sigma[/tex] for the binomial distribution will be [tex]20.292[/tex].
What is binomial distribution ?
Binomial distribution is the probability of a particular outcome in a series when the outcome has two distinct possibilities, success or failure.
Variance [tex]= \sigma^2 = npq[/tex]
Standard deviation [tex](\sigma)=\sqrt{\sigma^2}[/tex]
Where, [tex]n=[/tex] number of trials,
[tex]p=[/tex] Success probability
[tex]q=[/tex] failure probability
We have,
[tex]n = 1680[/tex]
[tex]p = 0.57[/tex]
So,
[tex]q=1-p[/tex]
[tex]q=1-0.57=0.43[/tex]
So,
Variance [tex](\sigma^2 )= npq[/tex]
[tex]=1680*0.57*0.43[/tex]
Variance [tex](\sigma^2 )=411.768[/tex]
And,
Standard deviation [tex](\sigma)=\sqrt{\sigma^2}[/tex]
So,
[tex](\sigma)=\sqrt{411.768}[/tex]
[tex](\sigma)=20.292[/tex]
So, Standard deviation is [tex]20.292[/tex].
Hence, we can say that the standard deviation, [tex]\sigma[/tex] for the binomial distribution will be [tex]20.292[/tex].
To know more about binomial distribution click here
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