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).

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

https://brainly.com/question/14565246

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