Answer:
z-score for value 560 = 0.6
z-score for value 650 = 1.5
z-score for value 500 = 0
z-score for value 450 = -0.5
z-score for value 300 = -2
Step-by-step explanation:
We are given a sample with a mean of 500 and a standard deviation of 100.
i.e., [tex]\mu[/tex] = 500 and [tex]\sigma[/tex] = 100
The z score distribution is given by;
Z = [tex]\frac{X-\mu}{\sigma}[/tex] ~ N(0,1)
where X represents the data values;
z score = [tex]\frac{560-500}{100}[/tex] = 0.6
z score = [tex]\frac{650-500}{100}[/tex] = 1.5
z score = [tex]\frac{500-500}{100}[/tex] = 0
z score = [tex]\frac{450-500}{100}[/tex] = -0.5
z score = [tex]\frac{300-500}{100}[/tex] = -2