Respuesta :
[tex]\mathbb P(46<X<54)=\mathbb P\left(\dfrac{46-50}4<\dfrac{X-50}4<\dfrac{54-50}4\right)=\mathbb P(-1<Z<1)[/tex]
The empirical rule says that approximately 68% of the data lies within one standard deviation of the mean.
The empirical rule says that approximately 68% of the data lies within one standard deviation of the mean.
The proportion of observation that lies between [tex]46[/tex] and [tex]54[/tex] is [tex]68\%[/tex].
What is empirical rule ?
Empirical rule : In statistics, the [tex]68-95-99.7[/tex] rule, also known as the empirical rule, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: [tex]68\%,[/tex] of the values lie within one standard deviations of the mean.
i.e. [tex]\mu -\sigma[/tex] and [tex]\mu+\sigma[/tex]
We have,
Mean [tex](\mu)=50[/tex]
Standard deviation [tex](\sigma)=50[/tex]
So,
Now Using the Empirical rule,
[tex]\mu -\sigma[/tex] and [tex]\mu+\sigma[/tex]
i.e.
[tex]50-4=46[/tex]
and, [tex]50+4=54[/tex]
That means,
That data lie between [tex]46[/tex] and [tex]54[/tex] is [tex]68\%[/tex].
Hence, we can say that the proportion of observation that lies between [tex]46[/tex] and [tex]54[/tex] is [tex]68\%[/tex].
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