Respuesta :
Answer:
P = 0.9544
Step-by-step explanation:
To find the probability that a randomly selected location, the company retained between 12 and 20 customers, we are going to standardize 12 and 20 using the following equation:
[tex]z=\frac{x-m}{s}[/tex]
Where x is the value, m is the mean and s is the standard deviation, so in a standard normal distribution, 12 and 20 are equal to:
[tex]\frac{12-16}{2}=-2\\\\\frac{20-16}{2} =2[/tex]
Now, the probability that the company retained between 12 and 20 customers is equal to the probability that the z value is between -2 and 2 in a standard normal distribution. So, using the normal distribution table we have:
P(-2<z<2) = P(z<2) - P(z<-2) = 0.9772 - 0.0228 = 0.9544
Answer:
Probability that a randomly selected location, the company retained between 12 and 20 customers is 0.9545.
Step-by-step explanation:
We are given that a normal distribution is observed from the number of customers retained per company's locations for a certain pharmaceutical company where the mean is 16 customers and the standard deviation is 2 customers.
Let X = number of customers retained per company's locations for a certain pharmaceutical company
So, X ~ N([tex]\mu=16,\sigma^{2}=2^{2}[/tex])
Now, the z score probability distribution is given by;
Z = [tex]\frac{X-\mu}{\sigma}[/tex] ~ N(0,1)
where, [tex]\mu[/tex] = population mean
[tex]\sigma[/tex] = standard deviation
So, probability that a randomly selected location, the company retained between 12 and 20 customers is given by = P(12 < X < 20)
P(12 < X < 20) = P(X < 20) - P(X [tex]\leq[/tex] 12)
P(X < 20) = P( [tex]\frac{X-\mu}{\sigma}[/tex] < [tex]\frac{20-16}{2}[/tex] ) = P(Z < 2) = 0.97725
P(X [tex]\leq[/tex] 12) = P( [tex]\frac{X-\mu}{\sigma}[/tex] [tex]\leq[/tex] [tex]\frac{12-16}{2}[/tex] ) = P(Z [tex]\leq[/tex] -2) = 1 - P(Z < 2)
= 1 - 0.97725 = 0.02275
Now, P(12 < X < 20) = 0.97725 - 0.02275 = 0.9545
Therefore, probability that a randomly selected location, the company retained between 12 and 20 customers is 0.9545.