NOCP Competency for COPR Practice Exam 2026 - Free COPR Practice Questions and Study Guide

Session length

1 / 20

What is the difference between descriptive and inferential statistics?

Descriptive statistics summarize data; inferential statistics draw conclusions about a population from a sample.

Descriptive statistics are about summarizing and describing the data you have. They give a clear picture of what the data look like: the average value, how spread out the values are, where most data fall, and how often different categories occur. They apply to the data at hand; if you have data for the entire group, that’s still descriptive, but it doesn’t go beyond those observed numbers.

Inferential statistics use the information in a sample to make educated guesses about a larger population. They rely on probability theory to quantify uncertainty, allowing you to estimate population parameters (like the true mean) with a confidence interval or to test whether observed differences could plausibly exist in the whole population.

A helpful way to see the difference is to think about a survey: reporting the average rating and the spread for the respondents you collected describes your sample. Concluding that the population’s average rating is likely within a certain range or that a difference between groups is statistically significant involves making inferences about the population.

Descriptive statistics test hypotheses about populations.

Inferential statistics simply organize data into tables.

Descriptive statistics compute probabilities for future outcomes.

Next Question
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy