Answer:
E. All of the above statements about z-score are true.
Step-by-step explanation:
The z score basically tells us that how standard deviation units far our observation fall from the mean value of the data we have which may be positive or negative which further means that our option C and D are correct as they are indicating the direction of our observation falls away from mean.
Now I will show how the mean and standard deviation of z-score is 0 and 1 respectively.
Consider value of variable X from population be {4,8}.
Now the mean of X will be, [tex]\mu[/tex] = [tex]\frac{\sum X}{N}[/tex] where N= 2
so mean = [tex]\frac{4+8}{2}[/tex] =6
Standard deviation formula = [tex]\sqrt{\frac{\sum (X-\mu )^{2}}{N}}[/tex] =[tex]\sqrt{\frac{-2^{2}+ 2^{2}}{2}}[/tex] = 2
The z -score has a formula z = [tex]\frac{X-\mu }{\sigma }[/tex]
so z 1 = [tex]\frac{4-6 }{2}[/tex] = -2
z 2 = [tex]\frac{8-6 }{2}[/tex] =2
Now to calculate mean of z score = [tex]\frac{-2 + 2 }{2}[/tex] = 0
Standard deviation of z score = [tex]\sqrt{\frac{-1^{2}+1^{2}}{2}}[/tex] = 1
Hence our option A and B are also correct.