Chapter 25: Chi-Square Tests for Goodness-of-Fit Flashcards
(11 cards)
Chi-Square Statistic (χ²)
Σ(Observed-Expected)^2/Expected
Chi-Square Degrees Of Freedom
df=number of categories-1
Chi-Square Distribution
- Only nonegative
- Right skew (less pronounced as df increases)
χ²GOF-Test Hypotheses
H0: “The distribution of [context] is the same across all [groups in context].”
Ha: “The distribution of [context] is not the same across all [groups in context].”
χ²GOF-Test Conditions
- Random sample
- Sample≤10% of pop.
- All expected counts>5
χ²GOF-Test p-value Interpretation
“Assuming the proportions of [a single categorical variable as stated in the null hypothesis] are true, there is a [p-value] probability of getting a chi-square statistic as extreme as the one in the study or more extreme, by chance alone.”
χ²GOF-Test On Calculator
Observed: List on L1
Expected: List on L2
df: degrees of freedom
χ²-Test (Homogeneity) Hypotheses
H0: “There is no difference in the distribution of [categorical variable in context] across populations or treatments.”
Ha: “There is a difference in the distribution of [categorical variable in context] across populations or treatments.”
χ²-Test (Independence)
H0: “There is no association between [categorical variable in context] and [other categorical variable in context] in a given population.”
Ha: “There is an association between [categorical variable in context] and [other categorical variable in context] in a given population.”
χ²-Test (Homogeneity & Independence)
- Stratified random sample (homogeneity) or single random sample (independence)
- Sample size ≤ 10% of pop.
- All expected counts>5
χ²-Test On Calculator
Observed: Data on matrix [A]
Expected: Will fill in data on matrix [B] as long as it is empty