Description
Do you know the difference between a mean and a median? Between
standard error and standard deviation? Between a universe and a
population?
If you work with education data — or read reports that use it —
these concepts come up constantly. In this short overview from
Agora Education Research, we walk you through the core statistical
ideas that show up most often in federal education datasets.
In about 10 minutes, you’ll learn:
– Mean, median, minimum, maximum, and when each matters
– Standard deviation and what it tells you about a dataset
– Standard error and confidence intervals — and how to read them
– Normal, right-skewed, and left-skewed distributions
– T-tests and statistical significance — and why significant
doesn’t mean important
– Universe and population — who is actually in the dataset?
– Random vs. purposive vs. convenience sampling
– Survey weights — and why ignoring them distorts the picture
Whether you’re a journalist covering education, a policymaker
reviewing research, a teacher advocate, or a student new to
education data, this video gives you the vocabulary to read
federal data with confidence.
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