Respuesta :
z = (X-Mean)/SD
z1 = (580-600)/20 = - 1
z2 = (620-600)/20 = + 1
According to the Empirical Rule 68-95-99.7
Mean +/- 1*SD covers 68% of the values
Therefore, required percent is 68%
hopes this help :) :D :)
z1 = (580-600)/20 = - 1
z2 = (620-600)/20 = + 1
According to the Empirical Rule 68-95-99.7
Mean +/- 1*SD covers 68% of the values
Therefore, required percent is 68%
hopes this help :) :D :)
Answer:
The percentage of the data between 580 and 620 is 68.26 %
Step-by-step explanation:
Given,
Mean, [tex]\mu[/tex] = 600,
Standard deviation, [tex]\sigma[/tex] = 20,
Using the equation,
[tex]z-score=\frac{x-\mu}{\sigma}[/tex]
Z-score for the data 580 = [tex]\frac{580-600}{20}[/tex]
[tex]=\frac{-20}{20}[/tex]
[tex]=-1[/tex]
While, the z-score for the data 620 = [tex]\frac{620-600}{20}[/tex]
[tex]=\frac{20}{20}[/tex]
[tex]=1[/tex]
Using normal distribution table,
P(580 < z) = 0.1587
Also, P(620 > z) = 0.8413
Hence, the percent of the data is between 580 and 620 = P(620 > z) - P(580 < z)
= 0.8413 - 0.1587
= 0.6826
= 68.26 %