Understanding error bars in charts
Error bars illustrate the margin of error for a survey estimate by showing how precise that estimate is. Here are some answers to common questions that might help you better understand charts with error bars.
A behind-the-scenes blog about research methods at Pew Research Center.
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Error bars illustrate the margin of error for a survey estimate by showing how precise that estimate is. Here are some answers to common questions that might help you better understand charts with error bars.
This post walks through the process of weighting and analyzing a survey dataset.
This post provides tips on recoding and collapsing survey data and displaying weighted estimates of categorical variables.
Our new R package contains various functions that we use in our day-to-day survey work.
The average class size at a university conveys little about the experience of the average student there.
Mode differences present a challenge to analyzing trends over time. While these differences can vary, there are lessons to be learned.
How an outside measure of community type compares with Europeans’ own descriptions of where they live.
Identifying causal relationships from observational data is not easy. Still, researchers are often interested in examining the effects of policy changes.
A look at how objective measures of community type compare with the way Americans describe their own areas.
From weather events to snap elections, outside developments can sometimes disrupt surveys while they are in the field.
There are some simple guidelines writers can follow to minimize the risk of readers misunderstanding or misinterpreting survey findings.
To search or browse all of Pew Research Center findings and data by topic, visit pewresearch.org