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25 July, 21:44

A researcher selects a random sample of 500 college students from Kentucky. It is found that 23% of students in the sample are science majors. The actual percentage of Kentucky college students that are science majors is 26%. Which type of error explains this discrepancy?

blinding error

confounding

nonsampling error

sampling error

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Answers (1)
  1. 25 July, 22:45
    +1
    its D since he got the percentage of science major's wrong.
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