Metainformation
file | Inferential_Statistics_vufsw-typeierror-0217-en_vufsw-typeierror-0217-en |
name | vufsw-typeierror-0217-en |
section | inferential statistics/nhst/statistical errors/type I error |
type | schoice |
solution | TRUE, FALSE, FALSE, FALSE |
Type | conceptual |
Program | NA |
Language | English |
Level | statistical reasoning |
Question
Suppose a researcher investigating the effectiveness of a new drug investigates a so-called Type I error. What mistake does he/she then makes?
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TRUE: The drug has no effect in reality (in the population), but the study shows that the observed difference between the before- and post-measurement well significant.
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FALSE: The drug has no effect in reality (in the population), but the study shows that the observed difference between the pre- and post-measurement is not significant.
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FALSE: The drug has an effect in reality (in the entire population), but the study shows that the observed difference between the pre- and post-measurement well significant.
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FALSE: The drug has an effect in reality (in the entire population), but the study shows that the observed difference between the pre- and post-measurement is not significant.
Solution
Language Dutch
Levels of Difficulty Easy
M&T Basics of quantitative research Basics of quantitative research
M&T BIS Default value
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True
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False
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False
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False