Answer:
The answer is below
Step-by-step explanation:
The z score is used to determine by how many standard deviations the mean is above or below the raw score. If the z score is positive then the raw score is above the mean while if the z score is negative then the raw score is below the mean. The z score is given by:
[tex]z=\frac{x-\mu}{\sigma}\\ \\\mu=mean, \sigma=standard\ deviation[/tex]
a)
From the normal distribution, 0.5 corresponds to a z score of 0.
z = 0.
b) From the normal distribution, an area of 0.9826 to the left corresponds to a z score of 2.11.
c) An area to the right of 0.1423 = an area of 0.8577 ( 1- 0.1423) to the left. From the normal distribution, an area of 0.8577 to the left corresponds to a z score of 1.07