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For a standard normal distribution, which of the following variables always equals 1?
Mu
Sigma
x
z

Respuesta :

Answer:

The mean is 0 and the deviation 1. And we can express this distribution with the following notation:

[tex] Z \sim N (\mu =0,\sigma =1)[/tex]

[tex]\sigma = 1[/tex] correct the deviation for this special distributionn is always 1

Step-by-step explanation:

The normal standard distribution is an special case of the normal distribution with some parameters on specific.

The mean is 0 and the deviation 1. And we can express this distribution with the following notation:

[tex] Z \sim N (\mu =0,\sigma =1)[/tex]

And when we analyze the options we can conclude this:

[tex]\mu[/tex] this value for this distribution is always equal to 0 and not 1

[tex]\sigma = 1[/tex] correct the deviation for this special distributionn is always 1

[tex]x[/tex] this value can be any value higher or lower than 1 so then is not the correct option

[tex]z[/tex] this variable can be different from 1 so then is not the correct option

Answer:

The mean is 0 and the deviation 1. And we can express this distribution with the following notation:

correct the deviation for this special distributionn is always 1

Step-by-step explanation:

The normal standard distribution is an special case of the normal distribution with some parameters on specific.

The mean is 0 and the deviation 1. And we can express this distribution with the following notation:

And when we analyze the options we can conclude this:

this value for this distribution is always equal to 0 and not 1

correct the deviation for this special distributionn is always 1

this value can be any value higher or lower than 1 so then is not the correct option

this variable can be different from 1 so then is not the correct option

Step-by-step explanation:

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