Respuesta :
Answer:
The answer is %34.13
Step-by-step explanation:
If mean of a normal distributed data set is 25, it will mean %50 of the data is above 25 and %50 of the data is below 25.
Than we need to subtract probability of being less than 23 from %50.
First z value need to be found for 23:
[tex]z=(23-25)/2=-1[/tex]
probablity of z=-1 is %15.87
Then 50-15.87=34.13 %34.13 of the data falls between 23 and 25
The probability that the data falls between 23 and 25 is 34.13%
z score is used to determine by how many standard deviations the raw score is above or below the mean.
The z score is given by:
[tex]z=\frac{x-\mu}{\sigma/ } \\\\where\ x\ is\ raw\ score,\mu\ is\ mean, \sigma\ is\ standard\ deviation[/tex]
Given that μ = 25, σ = 2 Hence for x > 23:
[tex]z=\frac{23-25}{2} =-1[/tex]
x < 25:
[tex]z=\frac{25-25}{2} =0[/tex]
From the normal distribution table:
P(23 < x < 25) = P(-1 < z < 0) = P(z < 0) - P(z < -1) = 0.5 - 0.1587 = 0.3413 = 34.13%
The probability that the data falls between 23 and 25 is 34.13%
Find out more on z score at: https://brainly.com/question/25638875