“The poll of 1,680 adults was conducted May 11-15 using a sample drawn from NORC’s probability-based AmeriSpeak Panel, which is designed to be representative of the U.S. population.” (Dont know how to quote on lemmy)
That’s a pretty small sample size considering, also they don’t give any actual information about what kind of demographic they polled, which seems odd, but I don’t know anything about AmeriSpeak so I don’t know how that works
Actually 1000 is a good number for a sample. It narrows your margin of error to around 3%. If it is truly randomly selected people. But that’s the hard part. How you sample skews the results. For example, sampling via land line random phone numbers means you get much older people. Sampling on college campuses means younger, etc.
“The poll of 1,680 adults was conducted May 11-15 using a sample drawn from NORC’s probability-based AmeriSpeak Panel, which is designed to be representative of the U.S. population.” (Dont know how to quote on lemmy)
That’s a pretty small sample size considering, also they don’t give any actual information about what kind of demographic they polled, which seems odd, but I don’t know anything about AmeriSpeak so I don’t know how that works
Good to know! That also makes sense.
(It would be helpful if you could take off the URL link from the entire paragraph, though. It’s hard to read this way.)
Actually 1000 is a good number for a sample. It narrows your margin of error to around 3%. If it is truly randomly selected people. But that’s the hard part. How you sample skews the results. For example, sampling via land line random phone numbers means you get much older people. Sampling on college campuses means younger, etc.
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