Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_eur-inferential_statistics-115-en_eur-inferential_statistics-115-en
    nameeur-inferential_statistics-115-en
    sectionInferential Statistics/NHST/Test statistic/Chi-squared
    typeschoice
    solutionFALSE, FALSE, FALSE, TRUE
    TypeConceptual
    ProgramSPSS
    LanguageEnglish
    LevelStatistical Literacy

    Question

    In a Chi-square test of independence the term “expected counts” refers to:


    1. FALSE: The counts that one deems known for the population under study
    2. FALSE: The counts observed in the sample data.
    3. FALSE: The counts observed in the population under study
    4. TRUE: The counts that can be calculated based on the null hypothesis.

    Solution

    The expected counts refer to the counts that can be calculated based on the null hypothesis, as we are always comparing our model to the null-hypothesis. So we would expect certain values based on the null hypothesis and check whether the observed values deviate from these expected values considerably.


    1. This answer is incorrect
    2. This answer is incorrect
    3. This answer is incorrect
    4. This is the correct answer!