Final answer:
The empirical rule states that for a given z-score, the corresponding percentile can be found by looking up the area to the left of the z-score in a standard normal distribution table.
Step-by-step explanation:
The empirical rule can be restated in terms of z-scores and percentiles. The empirical rule states that for a given z-score, the corresponding percentile can be found by looking up the area to the left of the z-score in a standard normal distribution table.
For example, if the z-score is -2.5, we can find the corresponding percentile by looking up the area to the left of -2.5 in the table, which is approximately 0.0062 or 0.62%. This means that about 0.62% of the values are below -2.5 standard deviations from the mean.
Similarly, if the z-score is 1.8, we can find the corresponding percentile by looking up the area to the left of 1.8 in the table, which is approximately 0.9641 or 96.41%. This means that about 96.41% of the values are below 1.8 standard deviations from the mean.