The Main Difference Between Parametric and Nonparametric Statistics Is That

Multiple Choice

The main difference between parametric and nonparametric statistics is that a parametric statistic:

A) makes no assumptions about the population distribution underlying a sample distribution.
B) assumes that the underlying population distribution is skewed and makes allowances for the skewness.
C) cannot be used with dependent measures scaled on ratio and interval scales.
D) estimates the value of a population parameter from the characteristics of a sample.