Answer:
a. The actual distance between M and µ
Step-by-step explanation:
The z-score test is a statistical test for which the distribution of the test is normally distributed under null hypothesis. It is used to test the mean for a known standard deviation. The z score (z) is the distance from the sample mean to the population mean in units of the standard error and is given by the equation:
[tex]z=\frac{M-\mu}{\frac{\sigma}{\sqrt{n} } }[/tex], where μ is the mean, ο is the standard deviation, n is the number of samples in the population and [tex]\frac{\sigma}{\sqrt{n} }[/tex] is the standard error.
The numerator of the z score is the distance from the sample mean (μ) to the population mean (M).
