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.

Question

Quizplus · Accepted Answer

Parametric statistics involve estimating population parameters based on sample data, assuming the data follows a specific distribution, typically normal.

The Main Difference Between Parametric and Nonparametric Statistics Is That