Answer:
In a lay term; The z-score gives us information concerning how many percentages of data lie between the given data interval. The z-score gives us an overview of the distance from the mean a data point is. In addition to that, it measures the degree of standard deviations below or above the population mean a raw score. We can place a z-score on a normal distribution curve.
Explanation:
Given that:
Height of woman between age 20 -29 are approximately normal with:
population mean = 64.3 inches &;
standard deviation = 2.7
For men:
population mean = 69.9 inches
Standard deviation = 3.1 inches
In a lay term; The z-score gives us information concerning how many percentages of data lie between the given data interval. The z-score gives us an overview of the distance from the mean a data point is. In addition to that, it measures the degree of standard deviations below or above the population mean a raw score. We can place a z-score on a normal distribution curve.