By the definition of Standard normal probability distribution,
" If X is a normally distributed random variable [tex] \mu [/tex] and [tex] \sigma [/tex] are respectively its mean and the standard deviation, then [tex] z=\frac{X-\mu}{\sigma} [/tex] is called the standard normal variable. "
Given that, "The normamally distributed set of data pertaining toa standardized test"
(1)
The mean score [tex] \mu =1050 [/tex]
Standard deviation [tex] = \sigma =200 [/tex]
To find the z-score of 1300 point score:
That is, [tex] X=1300 [/tex]
Then the z score is given by
[tex] z=\frac{X- \mu}{\sigma}=\frac{1300-1050}{200}=\frac{250}{200}=1.25
\\ Then \\ z-score=1.25 [/tex]
(2)
The mean score [tex] \mu =1050 [/tex]
Standard deviation [tex] = \sigma =200 [/tex]
To find the z-score of 1400 point score:
That is, [tex] X=1400 [/tex]
Then the z score is given by
[tex] z=\frac{X- \mu}{\sigma}=\frac{1400-1050}{200}=\frac{350}{200}=1.75
\\ Then \\ z-score=1.75 [/tex]