Bias Data
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More Lessons for High School Regents Exam
Math Worksheets
High School Math based on the topics required for the Regents Exam conducted by NYSED.
Bias data
Examples of bias in surveys
Example:
1. David hosts a podcast and he is curious how much his listeners like his show. He decides to atart an online poll. He asks his listeners to visit his website and participate in the poll.
The poll shows that 89% of about 200 respondents "love" his show.
What is the most concerning source of bias in this scenario?
Response bias
Undercoverage
Voluntary response sampling
2. David hosts a podcast and he is curious how much his listeners like his show. He decides to poll the next 100 listeners who send him fan mails.
They don't all respond, but 94 of the 97 listeners polled said they "loved" his show.
What is the most concerning source of bias in this scenario?
Convenience sampling
Nonresponse
Voluntary response sampling
Sources of bias: How data goes bad
Sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need to distinguish between facts and artefacts.
More Lessons for High School Regents Exam
Math Worksheets
High School Math based on the topics required for the Regents Exam conducted by NYSED.
Bias data
Examples of bias in surveys
Example:
1. David hosts a podcast and he is curious how much his listeners like his show. He decides to atart an online poll. He asks his listeners to visit his website and participate in the poll.
The poll shows that 89% of about 200 respondents "love" his show.
What is the most concerning source of bias in this scenario?
Response bias
Undercoverage
Voluntary response sampling
2. David hosts a podcast and he is curious how much his listeners like his show. He decides to poll the next 100 listeners who send him fan mails.
They don't all respond, but 94 of the 97 listeners polled said they "loved" his show.
What is the most concerning source of bias in this scenario?
Convenience sampling
Nonresponse
Voluntary response sampling
Sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need to distinguish between facts and artefacts.
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