Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-typeierror-0217-en_vufsw-typeierror-0217-en
    namevufsw-typeierror-0217-en
    sectioninferential statistics/nhst/statistical errors/type I error
    typeschoice
    solutionTRUE, FALSE, FALSE, FALSE
    Typeconceptual
    ProgramNA
    LanguageEnglish
    Levelstatistical 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?


    1. 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.
    2. 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.
    3. 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.
    4. 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


    1. True
    2. False
    3. False
    4. False