What is descriptive analysis? How do descriptive statistics help us make sense of data? What is the main pitfall of descriptive statistics as a research tool?

Descriptive statistics take information in a data set and condense it into a meaningful figure like an average or percentile. Descriptive statistics help us summarize and describe data, characterize relationships, and make predictions. While descriptive statistics can help us make sense of data, they should be used with caution: Descriptive statistics tell us what happened, but they don’t necessarily tell us why.

## Understanding the Limitations of Descriptive Statistics

When using descriptive statistics to summarize data, we always make trade-offs between complexity and utility. Any time we take data from the real world and condense it into a single value, we gain insight into the data as a whole but lose nuance or the “story” behind that data.

Consider the following example to understand the limitations of descriptive statistics: Say your local elementary school implemented a new reading program that improved overall student reading skills by 15%. Hooray! However, further analysis might show that those gains were concentrated in students from high-income families, and the reading skills of low-income students stayed roughly the same. In light of this more complete picture, it seems clear that the program needs to be modified.

As our reading program example shows, the descriptive statistics that we choose when summarizing data have a determining impact on the story the data tells. Above, the first story is that the school implemented a successful reading program. The second story is that the school implemented a reading program that only benefitted wealthy students, exacerbating existing gaps in reading skills. Therefore, it’s important that we’re intentional and thoughtful about the descriptive statistics we choose to use.

Understanding the Limitations of Descriptive Statistics

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#### Darya Sinusoid

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.