Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-pvalue-0231-en_vufsw-pvalue-0231-en
    namevufsw-pvalue-0231-en
    sectioninferential statistics/nhst/p-value
    typeschoice
    solutionTRUE, FALSE, FALSE, FALSE
    Typeconceptual
    ProgramNA
    LanguageEnglish
    Levelstatistical thinking

    Question

    What are we testing when we look at the p-value of a b-coefficient in a linear regression model?


    1. TRUE: Assuming that the zero hypothesis (H0) is TRUE in the population, how (un)probable is it to obtain this observed t value (or an even more extreme t value)? If it is highly unlikely, then we reject the null hypothesis.
    2. FALSE: Assuming that the zero hypothesis (H0) is TRUE in the sample, how (un)likely is it to be this observed t-value (or an even more extreme t-value)? If it is highly unlikely, then we reject the null hypothesis.
    3. FALSE: Assuming that the alternative hypothesis (Ha) is true is true in the population, how (un)likely is it to have this observed t-value (or an even more extreme t-value)? If it is very unlikely, then we reject the null hypothesis.
    4. FALSE: Assuming that the alternative hypothesis (Ha) is true is true in the sample, how (un)likely is it to have this observed t-value (or an even more extreme t-value)? If it is very unlikely, then we reject the null hypothesis.

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