What is the central limit theorem in statistics? What can the central limit theorem tell us about the distribution of the sample mean?

The central limit theorem states that the mean of a representative sample will be close to the mean of the larger population. Therefore, we can confidently make inferences about a population from a sample or about a sample from a population, and we can compare samples to each other.

Let’s explore each of these general applications of inferential statistics with an example.

## Making Inferences About a Population From a Sample

The central limit theorem in statistics allows us to ask research questions that would otherwise be unanswerable.

For example, many people believe that participating in gymnastics at a young age stunts girls’ growth. You can’t possibly collect data on every female gymnast to answer this question. Still, with the central limit theorem and inferential statistics, you can use a sample of gymnasts to test the null hypothesis that: “There is no difference in height as an adult between female gymnasts and non-gymnasts.”

## Making Inferences About a Sample From a Population

Since we know that samples look like their underlying population, we can also use the central limit theorem to make inferences about the composition of a sample taken from a given population. For example, say the organizers of a fun-run want to know how long they should give participants to finish their two-mile course. They can’t know the exact pace of each participant who will show up at the race, but they can use average running paces from the general population to assume that the majority of participants will finish the course between the 20- and 30-minute mark.

The Central Limit Theorem: Statistics Applied

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Darya’s love for reading started with fantasy novels (The LOTR trilogy is still her all-time-favorite). Growing up, however, she found herself transitioning to non-fiction, psychological, and self-help books. She has a degree in Psychology and a deep passion for the subject. She likes reading research-informed books that distill the workings of the human brain/mind/consciousness and thinking of ways to apply the insights to her own life. Some of her favorites include Thinking, Fast and Slow, How We Decide, and The Wisdom of the Enneagram.